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pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"},"responsivegrid":{"columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-ce92d2f034","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/harness-the-power-of-snowflake-with-informatica-idmc","isDeveloperGuidesPage":false,"quickstartHeroFirstCertifiedTag":{"tagText":"Partner 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------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003EThis quickstart will guide you through the steps to use the Informatica Intelligent Cloud Services Accelerator for Snowflake to create an Informatica Intelligent Data Management Cloud (IDMC) organization, which provides free data processing of up to one billion records per month.  You will then learn how to build a data integration mapping and mapping task or data pipeline using Informatica's Data Integration.\u003C/p\u003E\n","\u003Cp\u003EThe Informatica IDMC provides complete, comprehensive cloud-native and AI-powered data management capabilities, including data catalog, data integration, API and application integration, data prep, data quality, master data management, and a data marketplace, on a foundation of governance and privacy. Informatica IDMC is powered by our AI and machine learning (ML) engine, CLAIRE®, optimized for intelligence and automation, and is built on a modern, elastic, serverless microservices stack that connects data consumers to the data sources they need. It enables you to intelligently discover and understand all the data within and outside the enterprise, access and ingest all types of data wherever and whenever you want, curate and prepare data in a self-service fashion so that it is fit for use, and deliver an authoritative and trusted single view of all your data. Informatica IDMC is the single and most complete platform you will ever need for cloud-native data management.\u003C/p\u003E\n","\u003Cp\u003EIDMC Data Integration allows you to load source data from databases, applications, and data files in the cloud or on-premises into Snowflake. Data Integration supports many transformations that can be used to transform and enrich the source data. In addition, pushdown optimization (PDO) can be utilized for some transformations and functions to take advantage of Snowflake compute resources for data processing.\u003C/p\u003E\n","\u003Cp\u003EIn this lab, you will create a mapping to read two delimited files (Orders and Lineitem) from S3, join the files, perform an aggregation to create a count and total, and write the results into a new table in Snowflake. Then in the mapping task, you will turn on pushdown optimization to enable the processing to occur in Snowflake.\u003C/p\u003E\n","\u003Cp\u003EJSON (JavaScript Object Notation) is a text-based data format commonly used between servers and web applications and web-connected devices.  Because it is text-based, it is readable by both humans and machines.  JSON semi-structured data can be stored in Snowflake variant column alongside relational data.  In IDMC, the hierarchy parser transformation parses and transforms hierarchy data to relational data.\u003C/p\u003E\n","\u003Cp\u003EIn this lab, you will also use sample weather forecast data to create a hierarchical schema, then use it in a mapping to parse and transform the JSON weather forecast data, join them, add an expression to convert the temperature, and then write the data to a new table.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EFamiliarity with Snowflake\u003C/li\u003E\u003Cli\u003EFamiliarity with data integration (ETL) concepts\u003C/li\u003E\u003Cli\u003EFamiliarity with AWS S3\u003C/li\u003E\u003Cli\u003EFamiliarity with hiearchical data\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n","\u003Cp\u003EBy the end of this guide, you'll learn:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EHow to create an IDMC organization from Snowflake Partner Connect\u003C/li\u003E\u003Cli\u003EHow to view the Snowflake connection configuration in IDMC\u003C/li\u003E\u003Cli\u003EHow to configure an S3 connection.\u003C/li\u003E\u003Cli\u003EHow to build a data integration mapping to read S3 files and load into Snowflake.\u003C/li\u003E\u003Cli\u003EHow to turn on Pushdown Optimization (PDO) or ELT in a mapping task to use Snowflake's warehouse to process the data integration mapping.\u003C/li\u003E\u003Cli\u003EHow to verify PDO is successfully enabled.\u003C/li\u003E\u003Cli\u003EHow to configure a hierarchical schema\u003C/li\u003E\u003Cli\u003EHow to build a data integration mapping to flatten JSON data into relational data\u003C/li\u003E\u003Cli\u003EAll of the above without writing a single line of code.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Need\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake account with access to the ACCOUNTADMIN role\u003C/li\u003E\u003Cli\u003EAn email address for IDMC registration\u003C/li\u003E\u003Cli\u003EConfigured Snowflake connection in IDMC org if your org will not be registered from Partner Connect.  \u003Ca href=\"https://docs.informatica.com/integration-cloud/cloud-data-integration-connectors/current-version/snowflake-cloud-data-warehouse-v2-connector/snowflake-cloud-data-warehouse-v2-connections/snowflake-cloud-data-warehouse-v2-connection-properties/standard-authentication.html\"\u003EDocumentation on how to create a Snowflake connection\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EAWS S3 bucket access and credential\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAn Informatica Data Management Cloud organization\u003C/li\u003E\u003Cli\u003EAn S3 connection\u003C/li\u003E\u003Cli\u003EA data integration mapping to load S3 files into Snowflake\u003C/li\u003E\u003Cli\u003EA mapping task to use PDO for processing the data integration mapping\u003C/li\u003E\u003Cli\u003EA hierarchical schema\u003C/li\u003E\u003Cli\u003EA data integration mapping to parse JSON weather data and flatten it.\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EPrepare Your Lab Environment\u003C/h2\u003E\n","\u003Cp\u003EIf you haven’t already, register for a \u003Ca href=\"https://trial.snowflake.com\"\u003ESnowflake free 30-day trial\u003C/a\u003E.  You can also use an existing Snowflake account \u003Cstrong\u003Eas long as you have ACCOUNTADMIN access in that account\u003C/strong\u003E.\u003C/p\u003E\n","\u003Cp\u003EPlease select a region which is physically closest to you, and select the Enterprise edition so you can leverage some advanced capabilities that are not available in the Standard Edition.\u003C/p\u003E\n","\u003Cp\u003EAfter registering, you will receive an email with an activation link and your Snowflake account URL. Bookmark this URL for easy, future access. After activation, you will create a user name and password. Write down these credentials.\u003C/p\u003E\n","\u003Cp\u003EResize your browser window, so that you can view this guide and your web browser side-by-side and follow the lab instructions. If possible, use a secondary display dedicated to the lab guide.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch3\u003ECreate the IDMC Organization\u003C/h3\u003E\n","\u003Ch4\u003EStep 1\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003ELogin to \u003Cstrong\u003ESnowflake Snowsight\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003ESwitch role to \u003Cstrong\u003EACCOUNTADMIN\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EAdmin > Partner Connect\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003ESearch for \u003Cstrong\u003EInformatica\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EInformatica\u003C/strong\u003E tile.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture1.png\" alt=\"PartnerConnect\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 2\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003ENote the objects that will be created in Snowflake.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EConnect\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture2.png\" alt=\"Connect\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 3\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003EActivate\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture3.png\" alt=\"Activate\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 4\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EFill in the Informatica registration form.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect a \u003Cstrong\u003EData Center\u003C/strong\u003E in your region.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ESubmit\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture4.png\" alt=\"Register\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EUpon successful registration, you will receive an email with the subject line: \u003Cstrong\u003EThanks for signing up for the Informatica Intelligent Cloud Services Accelerator for Snowflake\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture4.1.png\" alt=\"Email\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 5\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003EThis \u003Ca href=\"https://marketplace.informatica.com/thank-you/snowflake.html\"\u003Epage\u003C/a\u003E will automatically open up in your browser.  Bookmark this page for future reference. Please also read through Knowledge Base materials and demo recording for more information.\u003C/li\u003E\u003Cli\u003EClick the \u003Cstrong\u003Eregion\u003C/strong\u003E you selected in step 4 to go to the \u003Cstrong\u003ELogin\u003C/strong\u003E page.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture5.png\" alt=\"Workshop\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 6\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003EEnter your \u003Cstrong\u003Eusername\u003C/strong\u003E and \u003Cstrong\u003Epassword\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ELog In\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture6.png\" alt=\"Login\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 7\u003C/h4\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EThe first time logging in, you will be prompted to enter a security \u003Cstrong\u003Equestion\u003C/strong\u003E and \u003Cstrong\u003Eanswer\u003C/strong\u003E.  Fill them in.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ELog In\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.png\" alt=\"SecurityQ\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThe Sample Use-Cases walkthrough page shows up.  Click "Don't show this again".\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.1.png\" alt=\"Walkthrough\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ETo re-visit the Sample Use-Cases walkthrough page, click \u003Cstrong\u003E?\u003C/strong\u003E at the top right and choose \u003Cstrong\u003EWalkthroughs\u003C/strong\u003E.  Feel free to go through the sample use-cases walkthrough at your convenience.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.2.png\" alt=\"OpenWalkthrough\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the next section, we will look at the Snowflake connection that was created by the registration process.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EReview the Snowflake Connection\u003C/h2\u003E\n","\u003Cp\u003EThe Snowflake connection is automatically configured in the IDMC organization when you create the organization through Snowflake Partner Connect.  Let's take a look at the connection.\u003C/p\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003EAdministrator\u003C/strong\u003E in the service selector page.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture8.png\" alt=\"Administrator\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003EConnections\u003C/strong\u003E on the left panel.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture9.png\" alt=\"Connections\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick the Snowflake connection that was created by the registration process.  Your connection name will have Snowflake followed by your Snowflake account name.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EFollowing is a screenshot of a Snowflake connection.  Note the properties i.e. Snowflake objects under the \u003Cstrong\u003EConnection Section\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture11.png\" alt=\"SnowflakeConnection\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ETest Connection\u003C/strong\u003E button and you should see a successful test notification.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the next section, we will review the Snowflake objects that were created by Partner Connect.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EReview the Snowflake Objects\u003C/h2\u003E\n","\u003Cp\u003EAs described in Step 2 of \u003Cstrong\u003ECreate IDMC Organization\u003C/strong\u003E section, a set of Snowflake objects were created.  Those objects are Database, Warehouse, System User, and System Role.\u003C/p\u003E\n","\u003Cp\u003ELet's take a look at those objects.\u003C/p\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EGo to \u003Cstrong\u003EWorksheets\u003C/strong\u003E in Snowflake and perform the following queries.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ERun the following query to show the database object.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Eshow databases like 'PC_INF%';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture12.png\" alt=\"Database\"\u003E\u003C/p\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003ERun the following query to show the warehouse object.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Eshow warehouses like 'PC_INF%';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture13.png\" alt=\"Warehouse\"\u003E\u003C/p\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003ERun the following query to show the user object.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Eshow users like 'PC_INF%';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture14.png\" alt=\"User\"\u003E\u003C/p\u003E\n\u003Col start=\"4\"\u003E\u003Cli\u003ERun the following query to show the role object.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Eshow roles like 'PC_INF%';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture15.png\" alt=\"Role\"\u003E\u003C/p\u003E\n\u003Col start=\"5\"\u003E\u003Cli\u003ENow we're ready to start building our data integration pipeline.\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConfigure an AWS S3 connection\u003C/h2\u003E\n","\u003Cp\u003EAn AWS S3 connection is required to access and read an AWS S3 bucket.  Follow configuration steps below to create the S3 connection.\u003C/p\u003E\n","\u003Cp\u003ENote that the S3 connection requires that the S3 objects be encrypted.  If you are doing this lab live, you will be given an Access Key and Secret Key to use.  Alternatively, you can download the files at the end of this page and load them to your own S3 bucket.\u003C/p\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ELogin to \u003Cstrong\u003EIDMC\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EAdministrator\u003C/strong\u003E in the service selector page.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture8.png\" alt=\"Administrator\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003EConnections\u003C/strong\u003E on the left panel.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ENew Connection\u003C/strong\u003E button to create a new connection.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture21.png\" alt=\"NewConnection\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 3\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter \u003Cstrong\u003ES3\u003C/strong\u003E in the Connection Name field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect \u003Cstrong\u003EAmazon S3 v2\u003C/strong\u003E from the Type dropdown field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect \u003Cstrong\u003EInformatica Cloud Hosted Agent\u003C/strong\u003E from the Runtime Environment dropdown field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter your access key in the Access Key field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter your secret key in the Secret Key field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter S3 bucket name in the Folder Path field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect your bucket's region from the Region Name dropdown field.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ETest Connection\u003C/strong\u003E button.  If the configuration is correct, the page should display \u003Cstrong\u003E“The test for this connection was successful.”\u003C/strong\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E button.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture22.png\" alt=\"S3Connection\"\u003E\nReference: \u003Ca href=\"https://docs.informatica.com/integration-cloud/cloud-data-integration-connectors/current-version/amazon-s3-v2-connector/amazon-s3-v2-connections/amazon-s3-v2-connection-properties.html\"\u003EAWS S3 V2 Connector Documentation\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou should have an AWS S3 and Snowflake connections configured.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture23.png\" alt=\"S3andSnowflake\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 4 (Alternative method for using your own S3 bucket)\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EClick to download the following files.<br>\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E  <button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://sfquickstarts.s3.us-west-1.amazonaws.com/VHOL+Informatica+Data+Management/orders.tbl\"\u003Eorders.tbl\u003C/a\u003E\n</button>\n<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://sfquickstarts.s3.us-west-1.amazonaws.com/VHOL+Informatica+Data+Management/lineitem.tbl\"\u003Elineitem.tbl\u003C/a\u003E\n</button>\n2. Upload those two files into your S3 bucket.  Make sure to the files are protected with an access key and secret key.  IDMC requires those keys in the S3 connection.\n3. Follow the steps above to create the S3 connection using your own S3 credentials.\u003C/p\u003E\n","\u003Ch2\u003ECreate a Project Folder\u003C/h2\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EClick the Service Selector at the top left, then select \u003Cstrong\u003EData Integration\u003C/strong\u003E service.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture24.png\" alt=\"ServiceSelector\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n","\u003Cp\u003ELet's create a project to store our mapping or assets.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003EExplore\u003C/strong\u003E on the left panel.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ENew Project\u003C/strong\u003E to create a new project.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture25.png\" alt=\"NewProject\"\u003E\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture26.png\" alt=\"Save\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E project.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture27.png\" alt=\"HandsonLab\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ELoad Data from AWS S3 into Snowflake using Pushdown Optimization (ELT)\u003C/h3\u003E\n","\u003Cp\u003EIDMC Data Integration allows you to load source data from databases, applications, and data files in the cloud or on-premises into Snowflake.  Data Integration supports many transformations that can be used to transform and enrich the source data.  In addition, pushdown optimization (PDO) can be utilized for some transformations and functions to take advantage of Snowflake compute resources for data processing.\u003C/p\u003E\n","\u003Cp\u003EIn this lab, you will create a mapping to read two delimited files (Orders and Lineitem) from S3, join the files, perform an aggregation to create a count and total, and write the results into a new table in Snowflake.  Then in the mapping task, you will turn on pushdown optimization to enable the processing to occur in Snowflake.\u003C/p\u003E\n","\u003Ch4\u003EStep 1\u003C/h4\u003E\n","\u003Cp\u003ECreate a new mapping\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003ENew...\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EMappings\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EMapping\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ECreate\u003C/strong\u003E <BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture28.png\" alt=\"NewMapping\"\u003E\u003C/li\u003E\u003Cli\u003EUnder properties, enter \u003Cstrong\u003Em_S3_Orders_Lineitem_into_Snowflake\u003C/strong\u003E in Name field.\u003C/li\u003E\u003Cli\u003EEnsure that Location is \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E. If not, click \u003Cstrong\u003EBrowse\u003C/strong\u003E and select it.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture29.png\" alt=\"Mapping\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 2\u003C/h4\u003E\n","\u003Cp\u003ELet's configure the Orders data source from S3.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick the \u003Cstrong\u003ESource\u003C/strong\u003E transform in the mapping canvas to assign its properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Esrc_S3_Orders\u003C/strong\u003E in the Name field.<BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture30.png\" alt=\"src1\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Source tab, select \u003Cstrong\u003ES3\u003C/strong\u003E in the Connection dropdown field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESelect\u003C/strong\u003E to select a source file.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture31.png\" alt=\"srcS3Orders\"\u003E\u003C/li\u003E\u003Cli\u003EClick on \u003Cstrong\u003Edataforingestion\u003C/strong\u003E S3 bucket.\u003C/li\u003E\u003Cli\u003EFrom the results on the right, select \u003Cstrong\u003Eorders.tbl\u003C/strong\u003E file.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E. <BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture32.png\" alt=\"srcS3Orders2\"\u003E\u003C/li\u003E\u003Cli\u003EClick Format dropdown field and select \u003Cstrong\u003EFlat\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EFormatting Options\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture33.png\" alt=\"srcS3OrdersFormat\"\u003E\u003C/li\u003E\u003Cli\u003EEnter a \u003Cstrong\u003Evertical bar\u003C/strong\u003E character in the delimiter field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EData Preview\u003C/strong\u003E to view the first 10 records.\u003Cbr\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture34.png\" alt=\"srcS3OrdersPreview\"\u003E\u003C/li\u003E\u003Cli\u003ERecords should be separated by fields.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture35.png\" alt=\"srcS3OrdersPreviewFields\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EIn the Fields tab, select fields \u003Cstrong\u003E7\u003C/strong\u003E, \u003Cstrong\u003E8\u003C/strong\u003E, and \u003Cstrong\u003E9\u003C/strong\u003E.  Then click \u003Cstrong\u003Etrash icon\u003C/strong\u003E to remove those fields.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EYes\u003C/strong\u003E when prompted.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture36.png\" alt=\"srcS3OrdersDeleteFields\"\u003E\u003C/li\u003E\u003Cli\u003ELet’s edit the \u003Cstrong\u003Eo_totalprice\u003C/strong\u003E metadata so that it is a decimal field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOptions\u003C/strong\u003E dropdown, select \u003Cstrong\u003EEdit Metadata\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick flat_string Native Type field for o_totalprice and select \u003Cstrong\u003Eflat_number\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EChange the Type to \u003Cstrong\u003Edecimal\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EChange the Native Precision and Precision to \u003Cstrong\u003E38\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EChange the Native Scale and Scale to \u003Cstrong\u003E2\u003C/strong\u003E.<br>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture37.png\" alt=\"srcS3OrdersEditFields\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 3\u003C/h4\u003E\n","\u003Cp\u003ENow we will add the Lineitem file as another data source.  The steps are the same as the above Orders data source.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EFrom the transformation palette, drag \u003Cstrong\u003ESource\u003C/strong\u003E transform and drop in the mapping canvas.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture38.png\" alt=\"srcS3newSource\"\u003E\u003C/li\u003E\u003Cli\u003ELet’s assign its properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Esrc_S3_Lineitem\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Source tab, select \u003Cstrong\u003ES3\u003C/strong\u003E in the Connection dropdown field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESelect\u003C/strong\u003E to select a source file.\u003C/li\u003E\u003Cli\u003EClick on \u003Cstrong\u003Edataforingestion\u003C/strong\u003E S3 bucket.\u003C/li\u003E\u003Cli\u003EFrom the results on the right, select \u003Cstrong\u003Elineitem.tbl\u003C/strong\u003E file.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick Format dropdown field and select \u003Cstrong\u003EFlat\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EFormatting Options\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EEnter a \u003Cstrong\u003Evertical bar\u003C/strong\u003E character in the delimiter field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EData Preview\u003C/strong\u003E to view the first 10 records.\u003C/li\u003E\u003Cli\u003ERecords should be separated by fields.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EIn the Fields tab, remove all fields except \u003Cstrong\u003El_orderkey\u003C/strong\u003E, \u003Cstrong\u003El_extendedprice\u003C/strong\u003E, \u003Cstrong\u003El_discount\u003C/strong\u003E, \u003Cstrong\u003El_tax\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EYes\u003C/strong\u003E. <BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture39.png\" alt=\"srcS3newProperties\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 4\u003C/h4\u003E\n","\u003Cp\u003ELet’s join the two data sources.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EFrom the transformation palette, drag the \u003Cstrong\u003EJoiner\u003C/strong\u003E transform and drop it over the line between the src_S3_Orders source and target transforms.  The Joiner should now be linked to the Orders and target.  If not, manually link them.\u003C/li\u003E\u003Cli\u003EClick align icon to align transformations in the mapping canvas.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture40.png\" alt=\"joinertx\"\u003E\u003C/li\u003E\u003Cli\u003EClick the plus icon above the Joiner to expand.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Esrc_S3_Lineitem\u003C/strong\u003E to the Detail of Joiner transform.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture41.png\" alt=\"joinerdetail\"\u003E\u003C/li\u003E\u003Cli\u003ELet’s assign the Joiner properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Ejnr_orders_lineitem\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Join Condition tab, click the plus icon to add a new condition.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003Eo_orderkey\u003C/strong\u003E for Master and \u003Cstrong\u003El_orderkey\u003C/strong\u003E for Detail.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture42.png\" alt=\"joinercondition\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Advanced tab, check the \u003Cstrong\u003ESorted Input\u003C/strong\u003E checkbox.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture43.png\" alt=\"joinersorted\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 5\u003C/h4\u003E\n","\u003Cp\u003ENow we will add an Aggregator transformation in the mapping to calculate the number of items for an order and the total of all items.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EFrom the transformation palette, select \u003Cstrong\u003EAggregator\u003C/strong\u003E transformation, drag and drop between the exp_itemtotal and Target in mapping canvas window.\u003C/li\u003E\u003Cli\u003EClick align icon to align transformations in the mapping canvas.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture51.png\" alt=\"aggr\"\u003E\u003C/li\u003E\u003Cli\u003ELet’s assign the properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Eagg_item_count_and_order_total\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Group By tab, click the plus icon to add new fields.\u003C/li\u003E\u003Cli\u003EAdd the following fields:\n<br>\t\u003Cstrong\u003Eo_orderkey\u003C/strong\u003E\n<br>\t\u003Cstrong\u003Eo_custkey\u003C/strong\u003E\n<br>\t\u003Cstrong\u003Eo_orderstatus\u003C/strong\u003E\n<br>\t\u003Cstrong\u003Eo_totalprice\u003C/strong\u003E\n<br>\t\u003Cstrong\u003Eo_orderdate\u003C/strong\u003E\n<br>\t\u003Cstrong\u003Eo_orderpriority\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EWhen completed, the Group By tab properties should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture52.png\" alt=\"groupby\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Aggregate tab, click the plus icon   to add a new field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003Eitemcount\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003Einteger\u003C/strong\u003E in the Type dropdown field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003E10\u003C/strong\u003E in the Precision field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003E0\u003C/strong\u003E in the Scale field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EConfigure\u003C/strong\u003E to configure the expression.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003Ecount(l_orderkey)\u003C/strong\u003E in the Expression field.  This function will result in the total number of items in an order.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EValidate\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick the plus icon to add another new field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003Etotal_calc\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003Edecimal\u003C/strong\u003E in the Type dropdown field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003E38\u003C/strong\u003E in the Precision field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003E2\u003C/strong\u003E in the Scale field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EConfigure\u003C/strong\u003E to configure the expression.\u003C/li\u003E\u003Cli\u003EEnter the following in the Expression field.  This function will add the total of all items in an order.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Esum(to_decimal(l_extendedprice) * (1-to_decimal(l_discount)) * (1+to_decimal(l_tax)))\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"26\"\u003E\u003Cli\u003EClick \u003Cstrong\u003EValidate\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EWhen completed, your Expression tab properties should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture53.png\" alt=\"groupbycomplete\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 6 (Optional)\u003C/h4\u003E\n","\u003Cp\u003ENow we will add another expression to rename the fields so that they look better and are in the order we want in the Snowflake table.  This is an optional transformation.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EFrom the transformation palette, drag \u003Cstrong\u003EExpression\u003C/strong\u003E transform and drop it over the line between the agg_item_count_and_order_total and target transforms.  The expression should now be linked to the aggregator and Target transforms.  If not, manually link them.\u003C/li\u003E\u003Cli\u003EClick align icon to align transformations in the mapping canvas.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture54.png\" alt=\"expr\"\u003E\u003C/li\u003E\u003Cli\u003ELet’s assign the properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Eexp_rename_fields\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Expression tab, click the plus icon to add the following fields:\u003C/li\u003E\u003C/ol\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EField Name\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EType\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EPrecision\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EScale\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EExpression\u003C/strong\u003E\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eorderkey\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Estring\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E255\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_orderkey\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ecustkey\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Estring\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E255\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_custkey\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eorderdate\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Estring\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E255\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_orderdate\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eorderpriority\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Estring\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E255\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_orderpriority\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eorderstatus\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Estring\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E255\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_orderstatus\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Etotalprice\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Edecimal\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E38\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E2\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Eo_totalprice\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Col start=\"6\"\u003E\u003Cli\u003EWhen completed, your Expression tab properties should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture55.png\" alt=\"exprcomplete\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EStep 7\u003C/h4\u003E\n","\u003Cp\u003ELastly the target table is going to be in Snowflake.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003ETarget\u003C/strong\u003E to set a target properties.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Etgt_Snowflake\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Incoming Fields tab, click plus icon to add a field rule.\u003C/li\u003E\u003Cli\u003EClick Include operator and change it to \u003Cstrong\u003EExclude\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EConfigure\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture56.png\" alt=\"target\"\u003E\u003C/li\u003E\u003Cli\u003ESelect all fields except the following:\n<br>\tcustkey\n<br>\titemcount\n<br>\torderdate\n<br>\torderkey\n<br>\torderpriority\n<br>\torderstatus\n<br>\ttotal_calc\n<br>\ttotalprice\u003C/li\u003E\u003Cli\u003EWhen completed, the Incoming Fields tab should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture57.png\" alt=\"targetfields\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESelect\u003C/strong\u003E to select target table.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture58.png\" alt=\"targetcomplete\"\u003E\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003ECreate New at Runtime\u003C/strong\u003E for Target Object.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003EORDERSLINEITEM\u003C/strong\u003E in Object Name field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003ETABLE\u003C/strong\u003E in the TableType field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003EPC_INFORMATICA_DB/PUBLIC\u003C/strong\u003E in Path field.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture59.png\" alt=\"targettable\"\u003E\u003C/li\u003E\u003Cli\u003EThe Target Fields tab should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture60.png\" alt=\"targetfields\"\u003E\u003C/li\u003E\u003Cli\u003EThe Field Mapping tab should look like this:\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture61.png\" alt=\"targetcomplete\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EPushdown Optimization and Mapping\u003C/h2\u003E\n","\u003Cp\u003ELet’s configure Pushdown Optimization (PDO) in the Mapping Task and execute it.\u003C/p\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save and validate the mapping.\u003C/li\u003E\u003Cli\u003EClick 3 dots icon to create a \u003Cstrong\u003EMapping task\u003C/strong\u003E from the mapping\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture62.png\" alt=\"mct\"\u003E\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003ENew Mapping Task…\u003C/strong\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture63.png\" alt=\"mctnew\"\u003E\u003C/li\u003E\u003Cli\u003EIn the New mapping task window, enter \u003Cstrong\u003Emct_S3_Orders_Lineitem_to_Snowflake_PDO\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E for Location.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EInformatica Cloud Hosted Agent\u003C/strong\u003E for Runtime Environment.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ENext\u003C/strong\u003E. <BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture64.png\" alt=\"mctdef\"\u003E\u003C/li\u003E\u003Cli\u003EScroll down to the Pushdown Optimization section.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EFull\u003C/strong\u003E from the Pushdown Optimization dropdown list.\u003C/li\u003E\u003Cli\u003ECheck \u003Cstrong\u003ECreate Temporary View\u003C/strong\u003E and \u003Cstrong\u003ECreate Temporary Sequence\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EFinish\u003C/strong\u003E. <BR>\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture65.png\" alt=\"mct\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ERun\u003C/strong\u003E to execute the mapping task.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture66.png\" alt=\"mctrun\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n","\u003Cp\u003EView job execution progress.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003EMy Jobs\u003C/strong\u003E to monitor the job execution.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture67.png\" alt=\"job\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ERefresh\u003C/strong\u003E icon when the “Updates available” message appears.\u003C/li\u003E\u003Cli\u003EWhen the job is completed, make sure Status is \u003Cstrong\u003ESuccess\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture68.png\" alt=\"success\"\u003E\u003C/li\u003E\u003Cli\u003EDrill down to the completed job by clicking the instance name.  Then click Download Session Log to view the log.\u003Cbr\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture69.png\" alt=\"download\"\u003E\u003C/li\u003E\u003Cli\u003EIn the log you will see a message indicating that Pushdown Optimization is successfully enabled.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture70.png\" alt=\"pdosuccess\"\u003E\u003C/li\u003E\u003Cli\u003EYou will also see an INSERT SQL statement that Informatica generated for execution in Snowflake.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003EINSERT INTO "PC_INFORMATICA_DB"."PUBLIC"."ORDERSLINEITEM"("orderkey","custkey","orderdate","orderpriority","orderstatus","totalprice","itemcount","total_calc") SELECT t5.t5c6, t5.t5c7, t5.t5c10, t5.t5c11, t5.t5c8, t5.t5c9, t5.t5c12::NUMBER(18,0), t5.t5c13 FROM (SELECT t3.t3c0, t3.t3c1, t3.t3c2, t3.t3c3, t3.t3c4, t3.t3c5, t3.t3c0 c0, t3.t3c1 c1, t3.t3c2 c2, t3.t3c3 c3, t3.t3c4 c4, t3.t3c5 c5, COUNT(t1.t1c0)::NUMBER(10,0), SUM(((t1.t1c1) * (1 - (t1.t1c2))) * (1 + (t1.t1c3))) FROM (SELECT t0."l_orderkey"::VARCHAR(256), t0."l_extendedprice"::VARCHAR(256), t0."l_discount"::VARCHAR(256), t0."l_tax"::VARCHAR(256) FROM "PC_INFORMATICA_DB"."PUBLIC"."ORDERSLINEITEM_1617648173588" AS t0) AS t1(t1c0 , t1c1 , t1c2 , t1c3) Join (SELECT t2."o_orderkey"::VARCHAR(256), t2."o_custkey"::VARCHAR(256), t2."o_orderstatus"::VARCHAR(256), (t2."o_totalprice"::NUMBER(38,2))::DOUBLE, t2."o_orderdate"::VARCHAR(256), t2."o_orderpriority"::VARCHAR(256) FROM "PC_INFORMATICA_DB"."PUBLIC"."ORDERSLINEITEM_1617648173277" AS t2) AS t3(t3c0 , t3c1 , t3c2 , t3c3 , t3c4 , t3c5) ON t3.t3c0 = t1.t1c0 GROUP BY 1, 2, 3, 4, 5, 6) AS t5(t5c0 , t5c1 , t5c2 , t5c3 , t5c4 , t5c5 , t5c6 , t5c7 , t5c8 , t5c9 , t5c10 , t5c11 , t5c12 , t5c13)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 3\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EIn Snowflake Snowsight, you should see 150,000 rows inserted in the \u003Cstrong\u003EORDERSLINEITEM\u003C/strong\u003E table.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture71.png\" alt=\"snowflake\"\u003E\u003C/li\u003E\u003Cli\u003EYou can also view the Informatica-generated INSERT statement that was executed in the Snowflake query history page.  Use Filter and filter for INSERT statement.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture72.png\" alt=\"snowflakehistory\"\u003E\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETransform Semi-Structured JSON Data\u003C/h2\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n","\u003Cp\u003EJSON (JavaScript Object Notation) is a text-based data format commonly used between servers and web applications and web-connected devices.  Because it is text-based, it is readable by both humans and machines.  JSON semi-structured data can be stored in Snowflake variant column alongside relational data.  In IDMC, the hierarchy parser transformation parses and transforms hierarchy data to relational data.\u003C/p\u003E\n","\u003Cp\u003EIn this section, we'll load some JSON-formatted weather data into the PC_INFORMATICA_DB database.  You will then use it to create a hierarchical schema, then use it in a mapping to parse and transform the JSON weather forecast data, join them, add an expression to convert the temperature, then write to a new table.\u003C/p\u003E\n","\u003Cp\u003EFor this step we will use standard Snowflake SQL commands to create a table with a Snowflake \u003Cstrong\u003EVARIANT\u003C/strong\u003E column, create an external stage (pointing to an S3 buket), re-size our warehouse to \u003Cstrong\u003ELarge\u003C/strong\u003E to speed up the load, run a Snowflake \u003Cstrong\u003ECOPY\u003C/strong\u003E command to load the data, and importantly, re-size the warehouse back to \u003Cstrong\u003EX-Small\u003C/strong\u003E after all of the commands complete.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EIn Snowflake \u003Cstrong\u003ESnowsight\u003C/strong\u003E, execute all of the following SQL statements.\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003E-- Set the correct ROLE, WAREHOUSE, and SCHEMA\nuse role PC_INFORMATICA_ROLE;\nuse warehouse PC_INFORMATICA_WH;\nuse schema PC_INFORMATICA_DB.PUBLIC;\n\n-- Create the table\ncreate or replace table pc_informatica_db.public.daily_14_total (\n  v variant,\n  t timestamp);\n\n-- Define a stage that describes where the data will be loaded from\ncreate or replace stage weather_data_s3\n  url = 's3://sfquickstarts/VHOL Informatica Data Management/WEATHER/';\n\n-- Re-size the warehouse so we can load the data quicker\nalter warehouse pc_informatica_wh set warehouse_size = large;\n\n-- Load the data\ncopy into daily_14_total\n   from (select $1, to_timestamp($1:time)\n   from @weather_data_s3)\n   file_format = (type=json);\n   \n-- Set the warehouse back to the original size\nalter warehouse pc_informatica_wh set warehouse_size = xsmall;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture2.png\" alt=\"copytable\"\u003E\u003C/p\u003E\n","\u003Ch2\u003EConfigure Hierarchical Schema\u003C/h2\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n","\u003Cp\u003ECopy JSON data from the Snowflake table and save it locally in your computer.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EGo to Worksheets, execute the following query:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-SQL\"\u003Eselect * from daily_14_total limit 1000;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003EClick the first row in column V in the result panel.\u003C/li\u003E\u003Cli\u003EClick copy icon to copy JSON string to clipboard.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture1.png\" alt=\"daily14total\"\u003E\u003C/li\u003E\u003Cli\u003ESave the copied JSON in a text file locally on your computer.  Filename: \u003Cstrong\u003Edaily_14.json\u003C/strong\u003E.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n","\u003Cp\u003ECreate a Hierarchical Schema in IDMC.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EIn IDMC, go to \u003Cstrong\u003EData Integration\u003C/strong\u003E service.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ENew\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EComponents\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EHierarchical Schema\u003C/strong\u003E and click \u003Cstrong\u003ECreate\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture3.png\" alt=\"Hschema\"\u003E\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003EDaily_14\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E in the Location field if not already filled in.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EUpload\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture4.png\" alt=\"upload\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EChoose File\u003C/strong\u003E and select the JSON file you saved in Step 1 above.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EValidate\u003C/strong\u003E and you should see \u003Cstrong\u003E"JSON Sample is Valid"\u003C/strong\u003E message.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture5.png\" alt=\"upload\"\u003E\u003C/li\u003E\u003Cli\u003EClick Save.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture6.png\" alt=\"save\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003ECreate a Mapping to Read the Weather Table\u003C/h2\u003E\n","\u003Cp\u003ECreate a mapping to read from the daily_14_total table, use hierarchy parser to parse the JSON data, join the relational data, convert the temperature and write to a new Snowflake table.\u003C/p\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003ENew…\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EMappings\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EMapping\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ECreate\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EUnder properties, enter \u003Cstrong\u003Em_transform_JSON\u003C/strong\u003E in Name field.\u003C/li\u003E\u003Cli\u003EEnsure Location is \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E. If not, click \u003Cstrong\u003EBrowse\u003C/strong\u003E and select it.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture7.png\" alt=\"newmapping\"\u003E\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n","\u003Cp\u003ELet’s configure the data source from Snowflake.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003ESource\u003C/strong\u003E transform in the mapping canvas to assign its properties.\u003C/li\u003E\u003Cli\u003EIn General tab, enter \u003Cstrong\u003Esrc_daily_14\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn Source tab, select \u003Cstrong\u003ESnowflake_[account name]\u003C/strong\u003E in the Connection dropdown field.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESelect\u003C/strong\u003E to select the source table/object.\u003C/li\u003E\u003Cli\u003EIn Select Source Object window, scroll down to find \u003Cstrong\u003EPC_INFORMATICA_DB\u003C/strong\u003E and click it.  Then click \u003Cstrong\u003EPUBLIC\u003C/strong\u003E schema.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EDAILY_14_TOTAL\u003C/strong\u003E in the tables list on the right pane.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture8.png\" alt=\"newmapping\"\u003E\u003C/li\u003E\u003Cli\u003EExpand \u003Cstrong\u003EQuery Options\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EConfigure\u003C/strong\u003E for Filter.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture9.png\" alt=\"queryoption\"\u003E\u003C/li\u003E\u003Cli\u003EClick Filter Condition dropdown and select \u003Cstrong\u003EAdvanced\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EPaste the following in the filter condition:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-condition\"\u003EDAILY_14_TOTAL.T >= to_date('2021-02-01','YYYY-MM-DD') AND DAILY_14_TOTAL.T <= to_date('2021-02-28','YYYY-MM-DD') AND DAILY_14_TOTAL.V:city:country='US' and DAILY_14_TOTAL.V:city:name = 'San Francisco'\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"12\"\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture10.png\" alt=\"condition\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 3\u003C/h3\u003E\n","\u003Cp\u003EAdd HierarchyParser transform and configure it.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EDrag and drop \u003Cstrong\u003EHierarchy Parser\u003C/strong\u003E transform on to the canvas.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture11.png\" alt=\"Hparser\"\u003E\u003C/li\u003E\u003Cli\u003EIn General tab, enter \u003Cstrong\u003Ehp_parse_JSON\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn Input Settings tab, click Select and select the \u003Cstrong\u003EDaily_14\u003C/strong\u003E hierarchical schema.  Click \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture12.png\" alt=\"Hparserjson\"\u003E\u003C/li\u003E\u003Cli\u003ESelect the link from \u003Cstrong\u003Esrc_daily_14\u003C/strong\u003E to \u003Cstrong\u003ETarget\u003C/strong\u003E and click delete icon.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Esrc_daily_14\u003C/strong\u003E to \u003Cstrong\u003Ehp_parse_JSON\u003C/strong\u003E.\u003Cbr\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture13.png\" alt=\"link\"\u003E\u003C/li\u003E\u003Cli\u003EIn Input Field Selection tab, drag and drop \u003Cstrong\u003EV\u003C/strong\u003E field from Incoming Fields to Input field in Hierarchical Schema Input Fields.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture14.png\" alt=\"drop\"\u003E\u003C/li\u003E\u003Cli\u003EIn Field Mapping tab, expand root element by clicking the triangle icon or expand/contract icon.\u003C/li\u003E\u003Cli\u003ESelect (check) the following fields: \u003Cstrong\u003Ecountry\u003C/strong\u003E, \u003Cstrong\u003Ename\u003C/strong\u003E, \u003Cstrong\u003Edt\u003C/strong\u003E, \u003Cstrong\u003Ehumidity\u003C/strong\u003E, \u003Cstrong\u003Emax\u003C/strong\u003E, \u003Cstrong\u003Emin\u003C/strong\u003E, \u003Cstrong\u003Edescription\u003C/strong\u003E in the Schema Structure panel.  Selected fields will automatically show up in the Relational Fields on the right panel.  Primary keys and foregin keys are auto created to make the fields relational.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture15.png\" alt=\"drop\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 4\u003C/h3\u003E\n","\u003Cp\u003EAdd a Joiner transform to link root and data relational field groups and configure it.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EDrag and drop \u003Cstrong\u003EJoiner\u003C/strong\u003E transform on the canvas.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Ehp_parse_JSON\u003C/strong\u003E to the \u003Cstrong\u003EMaster\u003C/strong\u003E in Joiner transform.\u003C/li\u003E\u003Cli\u003ESelect Output Group window appears.  Select \u003Cstrong\u003Eroot\u003C/strong\u003E and click \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture16.png\" alt=\"root\"\u003E\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Ehp_parse_JSON\u003C/strong\u003E again but this time to the \u003Cstrong\u003EDetail\u003C/strong\u003E in Joiner transform.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003Edata\u003C/strong\u003E in Output Group and click \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture17.png\" alt=\"data\"\u003E\u003C/li\u003E\u003Cli\u003EIn General tab, enter \u003Cstrong\u003Ejnr_temperature\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn Join Condition tab, click add icon.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EPK_root (bigint)\u003C/strong\u003E in Master column and \u003Cstrong\u003EFK_root (bigint)\u003C/strong\u003E in the Detail.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture18.png\" alt=\"condition\"\u003E\u003C/li\u003E\u003Cli\u003EIn Advanced tab, select \u003Cstrong\u003ESorted Input\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture19.png\" alt=\"sort\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 5\u003C/h3\u003E\n","\u003Cp\u003EAdd another Joiner transform to join and configure it.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EDrag and drop \u003Cstrong\u003EJoiner\u003C/strong\u003E transform on the canvas.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Ejnr_temperature\u003C/strong\u003E to the \u003Cstrong\u003EMaster\u003C/strong\u003E in Joiner transform.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Ehp_parse_JSON\u003C/strong\u003E to the \u003Cstrong\u003EDetail\u003C/strong\u003E in Joiner transform.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture20.png\" alt=\"2ndjoiner\"\u003E\u003C/li\u003E\u003Cli\u003ESelect Output Group window appears.  Select \u003Cstrong\u003Eweather\u003C/strong\u003E and click \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture21.png\" alt=\"2ndjoinerdeet\"\u003E\u003C/li\u003E\u003Cli\u003EIn General tab, enter \u003Cstrong\u003Ejnr_condition\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn Join Condition tab, select \u003Cstrong\u003EPK_data (bigint)\u003C/strong\u003E in Master and \u003Cstrong\u003EFK_data (bigint)\u003C/strong\u003E in Detail.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture22.png\" alt=\"2ndcond\"\u003E\u003C/li\u003E\u003Cli\u003EIn Advanced tab, select \u003Cstrong\u003ESorted Input\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E to save work in progress.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 6\u003C/h3\u003E\n","\u003Cp\u003EAdd Expression transform to create an ordered fields in the target and convert temperature from Kelvin to Fahrenheit.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EDrag and drop \u003Cstrong\u003EExpression\u003C/strong\u003E transform on the canvas.\u003C/li\u003E\u003Cli\u003ELink \u003Cstrong\u003Ejnr_condition\u003C/strong\u003E to the \u003Cstrong\u003EExpression\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture23.png\" alt=\"expr\"\u003E\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Eexp_convert_temperature\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Expression tab, add the following fields and expressions.\u003C/li\u003E\u003C/ol\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EField Name\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EType; Precision; Scale\u003C/strong\u003E\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EExpression\u003C/strong\u003E\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDate\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDate/time; 29; 9\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdd_To_Date(To_Date('1970-01-01','YYYY-MM-DD'),'SS',dt)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECity\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EString; 255; 0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ename\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECountry_Name\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EString; 255; 0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ecountry\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMin_Temp\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDecimal; 10; 1\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(min - 273.15) * 9/5 + 32\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMax_Temp\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDecimal; 10; 1\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(max - 273.15) * 9/5 + 32\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECondition\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EString; 100; 0\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Edescription\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EHumidity_Level\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDouble; 15\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003Ehumidity\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture24.png\" alt=\"expressions\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EStep 7\u003C/h3\u003E\n","\u003Cp\u003EFinally, let’s configure the Target.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ELink \u003Cstrong\u003Eexp_convert_temperature\u003C/strong\u003E to Target.\u003C/li\u003E\u003Cli\u003EIn the General tab, enter \u003Cstrong\u003Etgt_sf_weather_forecast\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003EIn the Incoming Fields tab, change All Fields to \u003Cstrong\u003ENamed Fields\u003C/strong\u003E by clicking on that field.\u003C/li\u003E\u003Cli\u003EThen click \u003Cstrong\u003EConfigure\u003C/strong\u003E to select fields.  Select the fields that were created in the \u003Cstrong\u003Eexp_convert_temperature\u003C/strong\u003E expression transform.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture25.png\" alt=\"targetincomingfields\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Target tab, select \u003Cstrong\u003ESnowflake\u003C/strong\u003E connection.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESelect\u003C/strong\u003E to select a table.\u003C/li\u003E\u003Cli\u003EIn the Target Object window, check \u003Cstrong\u003ECreate New at Runtime\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003ESF_WEATHER_FORECAST\u003C/strong\u003E in Object Name field.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003ETABLE\u003C/strong\u003E in TableType.\u003C/li\u003E\u003Cli\u003EEnter \u003Cstrong\u003EPC_INFORMATICA_DB/PUBLIC\u003C/strong\u003E in Path.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EOK\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture26.png\" alt=\"target\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Field Mapping tab, the target fields are automatically mapped from the incoming fields.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture27.png\" alt=\"field mapping\"\u003E\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003ECreate a Mapping Task\u003C/h2\u003E\n","\u003Ch3\u003EStep 1\u003C/h3\u003E\n","\u003Cp\u003ELet’s configure a Mapping Task and execute it.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick 3 dots to create Mapping task from the mapping\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003ENew Mapping Task…\u003C/strong\u003E\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture28.png\" alt=\"newmct\"\u003E\u003C/li\u003E\u003Cli\u003EIn the New mapping task window, enter \u003Cstrong\u003Emct_transform_JSON\u003C/strong\u003E in the Name field.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EHands-on Lab\u003C/strong\u003E for Location.\u003C/li\u003E\u003Cli\u003ESelect \u003Cstrong\u003EInformatica Cloud Hosted Agent\u003C/strong\u003E for Runtime Environment.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003EFinish\u003C/strong\u003E.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture29.png\" alt=\"newmct\"\u003E\u003C/li\u003E\u003Cli\u003EClick Run to execute the mapping task.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 2\u003C/h3\u003E\n","\u003Cp\u003EValidate job execution result.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EClick \u003Cstrong\u003EMy Jobs\u003C/strong\u003E to monitor the job execution.\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ERefresh\u003C/strong\u003E icon when “Updates available” message appears.\u003C/li\u003E\u003Cli\u003EWhen the job is completed, make sure the Status is \u003Cstrong\u003ESuccess\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003E864\u003C/strong\u003E rows were processed.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture30.png\" alt=\"864rows\"\u003E\u003C/li\u003E\u003Cli\u003EIn the Snowflake table preview, there are 864 rows as well.  Notice that the columns label are in the order as configured in the Expression transform.\n\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture31.png\" alt=\"864rowsinSF\"\u003E\u003C/li\u003E\u003C/ol\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECongratulations! You have successfully created a free IDMC organization, completed an ELT workload to load S3 files into Snowflake, and transformed JSON using the IDMC Data Integration service.\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can utilize your new IDMC org to load data from various data sources into Snowflake and perform data transformations using Data Integration service.  With this free IDMC org, you can load 1 billion records per month for free. In this guide, you learned how to use Pushdown Optimization/ELT to load S3 files into Snowflake, and how to transform JSON data using Hierarchy Parser transformation.\u003C/p\u003E\n","\u003Ch3\u003EWhat we've covered in this guide\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ECreate an IDMC org via Snowflake Partner Connect\u003C/li\u003E\u003Cli\u003EReview Snowflake connection in IDMC\u003C/li\u003E\u003Cli\u003EReview Snowflake objects created by the registration process\u003C/li\u003E\u003Cli\u003EConfigure AWS S3 connection\u003C/li\u003E\u003Cli\u003ECreate a Project folder\u003C/li\u003E\u003Cli\u003ECreate a data integration mapping to load S3 files into Snowflake\u003C/li\u003E\u003Cli\u003EConfigure Pushdown Optimization\u003C/li\u003E\u003Cli\u003EView mapping job result\u003C/li\u003E\u003Cli\u003EConfirm Pushdown Optimization is activated\u003C/li\u003E\u003Cli\u003EView result in Snowflake\u003C/li\u003E\u003Cli\u003ECreate JSON schema in Data Integration service\u003C/li\u003E\u003Cli\u003EUse Hierarchy Parser transformation\u003C/li\u003E\u003Cli\u003ECreate a data integration mapping to load transform JSON hierarchical data into relational format\u003C/li\u003E\u003Cli\u003ECreate a mapping task\u003C/li\u003E\u003Cli\u003EView mapping job result\u003C/li\u003E\u003Cli\u003EView result in Snowflake\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EContinue learning and check out these guides\u003C/h3\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.informatica.com/integration-cloud/cloud-data-integration/current-version/introduction/introducing-informatica-cloud--data-integration/data-integration.html\"\u003EDocumentation: Informatica Data Integration\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.informatica.com/integration-cloud/cloud-data-integration/current-version/data-integration-connections/connection-properties/snowflake-data-cloud-connection-properties.html\"\u003EDocumentation: Snowflake connector\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://marketplace.informatica.com/thank-you/snowflake.html\"\u003ELanding page for Informatica Intelligent Cloud Services Accelerator for Snowflake\u003C/a\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.informatica.com/integration-cloud/cloud-platform/h2l/1423-informatica-intelligent-cloud-services-for-snowflake-accele/frequently-asked-questions/frequently-asked-questions.html\"\u003EFAQ for Snowflake Accelerator\u003C/a\u003E\u003C/p\u003E"],"description":"This is a guide for getting started with Data Engineering using Informatica Data Management Cloud","title":"Harness the Power of Snowflake with Informatica Intelligent Data Management Cloud","isDeveloperGuidesPage":false,":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\nThis quickstart will guide you through the steps to use the Informatica Intelligent Cloud Services Accelerator for Snowflake to create an Informatica Intelligent Data Management Cloud (IDMC) organization, which provides free data processing of up to one billion records per month.  You will then learn how to build a data integration mapping and mapping task or data pipeline using Informatica's Data Integration.\n\nThe Informatica IDMC provides complete, comprehensive cloud-native and AI-powered data management capabilities, including data catalog, data integration, API and application integration, data prep, data quality, master data management, and a data marketplace, on a foundation of governance and privacy. Informatica IDMC is powered by our AI and machine learning (ML) engine, CLAIRE®, optimized for intelligence and automation, and is built on a modern, elastic, serverless microservices stack that connects data consumers to the data sources they need. It enables you to intelligently discover and understand all the data within and outside the enterprise, access and ingest all types of data wherever and whenever you want, curate and prepare data in a self-service fashion so that it is fit for use, and deliver an authoritative and trusted single view of all your data. Informatica IDMC is the single and most complete platform you will ever need for cloud-native data management.\n\nIDMC Data Integration allows you to load source data from databases, applications, and data files in the cloud or on-premises into Snowflake. Data Integration supports many transformations that can be used to transform and enrich the source data. In addition, pushdown optimization (PDO) can be utilized for some transformations and functions to take advantage of Snowflake compute resources for data processing.\n\nIn this lab, you will create a mapping to read two delimited files (Orders and Lineitem) from S3, join the files, perform an aggregation to create a count and total, and write the results into a new table in Snowflake. Then in the mapping task, you will turn on pushdown optimization to enable the processing to occur in Snowflake.\n\nJSON (JavaScript Object Notation) is a text-based data format commonly used between servers and web applications and web-connected devices.  Because it is text-based, it is readable by both humans and machines.  JSON semi-structured data can be stored in Snowflake variant column alongside relational data.  In IDMC, the hierarchy parser transformation parses and transforms hierarchy data to relational data.\n\nIn this lab, you will also use sample weather forecast data to create a hierarchical schema, then use it in a mapping to parse and transform the JSON weather forecast data, join them, add an expression to convert the temperature, and then write the data to a new table.\n\n### Prerequisites\n- Familiarity with Snowflake\n- Familiarity with data integration (ETL) concepts\n- Familiarity with AWS S3\n- Familiarity with hiearchical data\n\n### What You'll Learn\nBy the end of this guide, you'll learn:\n- How to create an IDMC organization from Snowflake Partner Connect\n- How to view the Snowflake connection configuration in IDMC\n- How to configure an S3 connection.\n- How to build a data integration mapping to read S3 files and load into Snowflake.\n- How to turn on Pushdown Optimization (PDO) or ELT in a mapping task to use Snowflake's warehouse to process the data integration mapping.\n- How to verify PDO is successfully enabled.\n- How to configure a hierarchical schema\n- How to build a data integration mapping to flatten JSON data into relational data\n- All of the above without writing a single line of code.\n\n### What You’ll Need \n- A Snowflake account with access to the ACCOUNTADMIN role\n- An email address for IDMC registration\n- Configured Snowflake connection in IDMC org if your org will not be registered from Partner Connect.  [Documentation on how to create a Snowflake connection](https://docs.informatica.com/integration-cloud/cloud-data-integration-connectors/current-version/snowflake-cloud-data-warehouse-v2-connector/snowflake-cloud-data-warehouse-v2-connections/snowflake-cloud-data-warehouse-v2-connection-properties/standard-authentication.html)\n- AWS S3 bucket access and credential\n\n### What You’ll Build\n- An Informatica Data Management Cloud organization\n- An S3 connection\n- A data integration mapping to load S3 files into Snowflake\n- A mapping task to use PDO for processing the data integration mapping\n- A hierarchical schema\n- A data integration mapping to parse JSON weather data and flatten it.\n\n\u003C!-- ------------------------ --\u003E\n\n## Prepare Your Lab Environment\n\n\nIf you haven’t already, register for a [Snowflake free 30-day trial](https://trial.snowflake.com).  You can also use an existing Snowflake account **as long as you have ACCOUNTADMIN access in that account**.\n\nPlease select a region which is physically closest to you, and select the Enterprise edition so you can leverage some advanced capabilities that are not available in the Standard Edition.  \n\nAfter registering, you will receive an email with an activation link and your Snowflake account URL. Bookmark this URL for easy, future access. After activation, you will create a user name and password. Write down these credentials.\n\nResize your browser window, so that you can view this guide and your web browser side-by-side and follow the lab instructions. If possible, use a secondary display dedicated to the lab guide.\n\n\u003C!-- ------------------------ --\u003E\n### Create the IDMC Organization\n\n#### Step 1 \n1. Login to **Snowflake Snowsight**.\n2. Switch role to **ACCOUNTADMIN**.\n3. Click **Admin \u003E Partner Connect**.\n4. Search for **Informatica**.\n5. Click **Informatica** tile.\n![PartnerConnect](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture1.png)\n\n#### Step 2\n1. Note the objects that will be created in Snowflake.\n2. Click **Connect**.\u003CBR\u003E\n![Connect](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture2.png)\n\n#### Step 3\n1. Click **Activate**.\u003CBR\u003E\n![Activate](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture3.png)\n\n#### Step 4\n1. Fill in the Informatica registration form.\n2. Select a **Data Center** in your region.\n3. Click **Submit**.\u003CBR\u003E\n![Register](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture4.png)\n\n4. Upon successful registration, you will receive an email with the subject line: **Thanks for signing up for the Informatica Intelligent Cloud Services Accelerator for Snowflake**.\n![Email](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture4.1.png)\n\n\n#### Step 5\n1. This [page](https://marketplace.informatica.com/thank-you/snowflake.html) will automatically open up in your browser.  Bookmark this page for future reference. Please also read through Knowledge Base materials and demo recording for more information.\n2. Click the **region** you selected in step 4 to go to the **Login** page.\n![Workshop](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture5.png)\n\n#### Step 6\n1. Enter your **username** and **password**.\n2. Click **Log In**.\u003CBR\u003E\n![Login](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture6.png)\n\n#### Step 7\n1. The first time logging in, you will be prompted to enter a security **question** and **answer**.  Fill them in.\n2. Click **Log In**.\u003CBR\u003E\n![SecurityQ](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.png)\n\n3. The Sample Use-Cases walkthrough page shows up.  Click \"Don't show this again\".\n![Walkthrough](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.1.png)\n\n4. To re-visit the Sample Use-Cases walkthrough page, click **?** at the top right and choose **Walkthroughs**.  Feel free to go through the sample use-cases walkthrough at your convenience.\n![OpenWalkthrough](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture7.2.png)\n\n5. In the next section, we will look at the Snowflake connection that was created by the registration process.\n\n\u003C!-- ------------------------ --\u003E\n## Review the Snowflake Connection\n\nThe Snowflake connection is automatically configured in the IDMC organization when you create the organization through Snowflake Partner Connect.  Let's take a look at the connection.\n\n### Step 1\n1. Click **Administrator** in the service selector page.\n![Administrator](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture8.png)\n\n2. Click **Connections** on the left panel.\n![Connections](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture9.png)\n\n3. Click the Snowflake connection that was created by the registration process.  Your connection name will have Snowflake followed by your Snowflake account name.\n\n4. Following is a screenshot of a Snowflake connection.  Note the properties i.e. Snowflake objects under the **Connection Section**.\n![SnowflakeConnection](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture11.png)\n\n5. Click **Test Connection** button and you should see a successful test notification.\n\n6. In the next section, we will review the Snowflake objects that were created by Partner Connect.\n\n\u003C!-- ------------------------ --\u003E\n## Review the Snowflake Objects\n\nAs described in Step 2 of **Create IDMC Organization** section, a set of Snowflake objects were created.  Those objects are Database, Warehouse, System User, and System Role.\n\nLet's take a look at those objects.\n\n### Step 1\n1. Go to **Worksheets** in Snowflake and perform the following queries.\n\n### Step 2\n1. Run the following query to show the database object.\n```SQL \nshow databases like 'PC_INF%';\n```\n![Database](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture12.png)\n\n2. Run the following query to show the warehouse object.\n```SQL\nshow warehouses like 'PC_INF%';\n```\n![Warehouse](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture13.png)\n\n3. Run the following query to show the user object.\n```SQL\nshow users like 'PC_INF%';\n```\n![User](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture14.png)\n\n4. Run the following query to show the role object.\n```SQL\nshow roles like 'PC_INF%';\n```\n![Role](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab1_Picture15.png)\n\n5. Now we're ready to start building our data integration pipeline.\n\n\u003C!-- ------------------------ --\u003E\n## Configure an AWS S3 connection\n\nAn AWS S3 connection is required to access and read an AWS S3 bucket.  Follow configuration steps below to create the S3 connection.\n\nNote that the S3 connection requires that the S3 objects be encrypted.  If you are doing this lab live, you will be given an Access Key and Secret Key to use.  Alternatively, you can download the files at the end of this page and load them to your own S3 bucket.\n\n### Step 1\n1. Login to **IDMC**.\n2. Click **Administrator** in the service selector page.\n![Administrator](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture8.png)\n\n### Step 2\n1. Click **Connections** on the left panel.\n2. Click **New Connection** button to create a new connection.\n![NewConnection](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture21.png)\n\n### Step 3\n1.\tEnter **S3** in the Connection Name field.\n2.\tSelect **Amazon S3 v2** from the Type dropdown field.\n3.\tSelect **Informatica Cloud Hosted Agent** from the Runtime Environment dropdown field.  \n4.\tEnter your access key in the Access Key field.\n5.\tEnter your secret key in the Secret Key field.\n6.\tEnter S3 bucket name in the Folder Path field.\n7.\tSelect your bucket's region from the Region Name dropdown field.\n8.\tClick **Test Connection** button.  If the configuration is correct, the page should display **“The test for this connection was successful.”** \n9.\tClick **Save** button.\n![S3Connection](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture22.png)\nReference: [AWS S3 V2 Connector Documentation](https://docs.informatica.com/integration-cloud/cloud-data-integration-connectors/current-version/amazon-s3-v2-connector/amazon-s3-v2-connections/amazon-s3-v2-connection-properties.html)\n\n10. You should have an AWS S3 and Snowflake connections configured.\n![S3andSnowflake](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture23.png)\n\n### Step 4 (Alternative method for using your own S3 bucket)\n1. Click to download the following files.\u003Cbr\u003E\n  \u003Cbutton\u003E\n\n  [orders.tbl](https://sfquickstarts.s3.us-west-1.amazonaws.com/VHOL+Informatica+Data+Management/orders.tbl)\n  \u003C/button\u003E\n  \u003Cbutton\u003E\n\n  [lineitem.tbl](https://sfquickstarts.s3.us-west-1.amazonaws.com/VHOL+Informatica+Data+Management/lineitem.tbl)\n  \u003C/button\u003E\n2. Upload those two files into your S3 bucket.  Make sure to the files are protected with an access key and secret key.  IDMC requires those keys in the S3 connection.\n3. Follow the steps above to create the S3 connection using your own S3 credentials.\n\n## Create a Project Folder\n\n### Step 1\n1. Click the Service Selector at the top left, then select **Data Integration** service.\n![ServiceSelector](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture24.png)\n\n### Step 2\nLet's create a project to store our mapping or assets.\n1. Click **Explore** on the left panel.\n2. Click **New Project** to create a new project.\n![NewProject](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture25.png)\n3. Enter **Hands-on Lab** in the Name field.\n4. Click **Save**.\u003CBR\u003E\n![Save](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture26.png)\n5. Click **Hands-on Lab** project.\n![HandsonLab](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture27.png)\n\n### Load Data from AWS S3 into Snowflake using Pushdown Optimization (ELT)\n\nIDMC Data Integration allows you to load source data from databases, applications, and data files in the cloud or on-premises into Snowflake.  Data Integration supports many transformations that can be used to transform and enrich the source data.  In addition, pushdown optimization (PDO) can be utilized for some transformations and functions to take advantage of Snowflake compute resources for data processing.\n\nIn this lab, you will create a mapping to read two delimited files (Orders and Lineitem) from S3, join the files, perform an aggregation to create a count and total, and write the results into a new table in Snowflake.  Then in the mapping task, you will turn on pushdown optimization to enable the processing to occur in Snowflake.\n\n#### Step 1\nCreate a new mapping\n1. Click **New...**\n2. Click **Mappings**\n3. Select **Mapping**\n4. Click **Create** \u003CBR\u003E\n![NewMapping](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture28.png)\n5. Under properties, enter **m_S3_Orders_Lineitem_into_Snowflake** in Name field.\n6. Ensure that Location is **Hands-on Lab**. If not, click **Browse** and select it.\n![Mapping](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture29.png)\n\n#### Step 2\nLet's configure the Orders data source from S3.\n1.\tClick the **Source** transform in the mapping canvas to assign its properties.\n2.\tIn the General tab, enter **src_S3_Orders** in the Name field.\u003CBR\u003E\n![src1](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture30.png)\n3.\tIn the Source tab, select **S3** in the Connection dropdown field.\n4.\tClick **Select** to select a source file.\n![srcS3Orders](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture31.png)\n5.\tClick on **dataforingestion** S3 bucket.\n6.\tFrom the results on the right, select **orders.tbl** file.\n7.\tClick **OK**. \u003CBR\u003E\n![srcS3Orders2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture32.png)\n8.\tClick Format dropdown field and select **Flat**.\n9.\tClick **Formatting Options**.\n![srcS3OrdersFormat](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture33.png)\n10.\tEnter a **vertical bar** character in the delimiter field.\n11.\tClick **Data Preview** to view the first 10 records.  \n![srcS3OrdersPreview](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture34.png)\n12.\tRecords should be separated by fields.\n![srcS3OrdersPreviewFields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture35.png)\n13.\tClick **OK**.\n14.\tIn the Fields tab, select fields **7**, **8**, and **9**.  Then click **trash icon** to remove those fields.  \n15.\tClick **Yes** when prompted.\n![srcS3OrdersDeleteFields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture36.png)\n16.\tLet’s edit the **o_totalprice** metadata so that it is a decimal field.\n17.\tClick **Options** dropdown, select **Edit Metadata**.\n18.\tClick flat_string Native Type field for o_totalprice and select **flat_number**.\n19.\tChange the Type to **decimal**.\n20.\tChange the Native Precision and Precision to **38**.\n21.\tChange the Native Scale and Scale to **2**.\u003Cbr\u003E\n![srcS3OrdersEditFields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture37.png)\n22.\tClick **Save** to save work in progress.\n\n#### Step 3\nNow we will add the Lineitem file as another data source.  The steps are the same as the above Orders data source.\n\n1.\tFrom the transformation palette, drag **Source** transform and drop in the mapping canvas.\n![srcS3newSource](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture38.png)\n2.\tLet’s assign its properties.\n3.\tIn the General tab, enter **src_S3_Lineitem** in the Name field.\n4.\tIn the Source tab, select **S3** in the Connection dropdown field.\n5.\tClick **Select** to select a source file.\n6.\tClick on **dataforingestion** S3 bucket.\n7.\tFrom the results on the right, select **lineitem.tbl** file.\n8.\tClick **OK**.\n9.\tClick Format dropdown field and select **Flat**.\n10.\tClick **Formatting Options**.\n11.\tEnter a **vertical bar** character in the delimiter field.\n12.\tClick **Data Preview** to view the first 10 records.\n13.\tRecords should be separated by fields.\n14.\tClick **OK**.\n15.\tIn the Fields tab, remove all fields except **l_orderkey**, **l_extendedprice**, **l_discount**, **l_tax**.\n16. Click **Yes**. \u003CBR\u003E\n![srcS3newProperties](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture39.png)\n17.\tClick **Save** to save work in progress.\n\n#### Step 4\nLet’s join the two data sources.\n\n1.\tFrom the transformation palette, drag the **Joiner** transform and drop it over the line between the src_S3_Orders source and target transforms.  The Joiner should now be linked to the Orders and target.  If not, manually link them.\n2.\tClick align icon to align transformations in the mapping canvas.\n![joinertx](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture40.png)\n3.\tClick the plus icon above the Joiner to expand.  \n4.\tLink **src_S3_Lineitem** to the Detail of Joiner transform.\n![joinerdetail](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture41.png)\n5.\tLet’s assign the Joiner properties.\n6.\tIn the General tab, enter **jnr_orders_lineitem** in the Name field.\n7.\tIn the Join Condition tab, click the plus icon to add a new condition.\n8.\tSelect **o_orderkey** for Master and **l_orderkey** for Detail.\n![joinercondition](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture42.png)\n9.\tIn the Advanced tab, check the **Sorted Input** checkbox.\n![joinersorted](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture43.png)\n10.\tClick **Save** to save work in progress.\n\n#### Step 5\nNow we will add an Aggregator transformation in the mapping to calculate the number of items for an order and the total of all items.\n\n1.\tFrom the transformation palette, select **Aggregator** transformation, drag and drop between the exp_itemtotal and Target in mapping canvas window.\n2.\tClick align icon to align transformations in the mapping canvas.\n![aggr](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture51.png)\n3.\tLet’s assign the properties.\n4.\tIn the General tab, enter **agg_item_count_and_order_total** in the Name field.\n5.\tIn the Group By tab, click the plus icon to add new fields.\n6.\tAdd the following fields:\n\u003Cbr\u003E\t**o_orderkey**\n\u003Cbr\u003E\t**o_custkey**\n\u003Cbr\u003E\t**o_orderstatus**\n\u003Cbr\u003E\t**o_totalprice**\n\u003Cbr\u003E\t**o_orderdate**\n\u003Cbr\u003E\t**o_orderpriority**\n7.\tWhen completed, the Group By tab properties should look like this:\n![groupby](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture52.png)\n8.\tIn the Aggregate tab, click the plus icon   to add a new field.\n9.\tEnter **itemcount** in the Name field.\n10.\tSelect **integer** in the Type dropdown field.\n11.\tEnter **10** in the Precision field.\n12.\tEnter **0** in the Scale field.\n13.\tClick **OK**.\n14.\tClick **Configure** to configure the expression.\n15.\tEnter **count(l_orderkey)** in the Expression field.  This function will result in the total number of items in an order.\n16.\tClick **Validate**.\n17.\tClick **OK**.\n18.\tClick the plus icon to add another new field.\n19.\tEnter **total_calc** in the Name field.\n20.\tSelect **decimal** in the Type dropdown field.\n21.\tEnter **38** in the Precision field.\n22.\tEnter **2** in the Scale field.\n23.\tClick **OK**.\n24.\tClick **Configure** to configure the expression.\n25.\tEnter the following in the Expression field.  This function will add the total of all items in an order.\n\n```SQL\nsum(to_decimal(l_extendedprice) * (1-to_decimal(l_discount)) * (1+to_decimal(l_tax)))\n```\n\n26.\tClick **Validate**.\n27.\tClick **OK**.\n28.\tWhen completed, your Expression tab properties should look like this:\n![groupbycomplete](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture53.png)\n29.\tClick **Save** to save work in progress.\n\n#### Step 6 (Optional)\nNow we will add another expression to rename the fields so that they look better and are in the order we want in the Snowflake table.  This is an optional transformation.\n\n1.\tFrom the transformation palette, drag **Expression** transform and drop it over the line between the agg_item_count_and_order_total and target transforms.  The expression should now be linked to the aggregator and Target transforms.  If not, manually link them.\n2.\tClick align icon to align transformations in the mapping canvas.\n![expr](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture54.png)\n3.\tLet’s assign the properties.\n4.\tIn the General tab, enter **exp_rename_fields** in the Name field.\n5.\tIn the Expression tab, click the plus icon to add the following fields:\n\n| **Field Name** | **Type** | **Precision** | **Scale** | **Expression** |\n| --- | --- | --- | --- | --- |\n| orderkey | string | 255 | 0 | o_orderkey |\n| custkey | string | 255 | 0 | o_custkey |\n| orderdate | string | 255 | 0 | o_orderdate |\n| orderpriority | string | 255 | 0 | o_orderpriority |\n| orderstatus | string | 255 | 0 | o_orderstatus |\n| totalprice | decimal | 38 | 2 | o_totalprice |\n\n6.\tWhen completed, your Expression tab properties should look like this:\n![exprcomplete](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture55.png)\n7.\tClick **Save** to save work in progress.\n\n#### Step 7\nLastly the target table is going to be in Snowflake.\n\n1.\tClick **Target** to set a target properties.\n2.\tIn the General tab, enter **tgt_Snowflake** in the Name field.\n3.\tIn the Incoming Fields tab, click plus icon to add a field rule.\n4.\tClick Include operator and change it to **Exclude**.\n5.\tClick **Configure**.\n![target](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture56.png)\n6.\tSelect all fields except the following:\n\u003Cbr\u003E\tcustkey\n\u003Cbr\u003E\titemcount\n\u003Cbr\u003E\torderdate\n\u003Cbr\u003E\torderkey\n\u003Cbr\u003E\torderpriority\n\u003Cbr\u003E\torderstatus\n\u003Cbr\u003E\ttotal_calc\n\u003Cbr\u003E\ttotalprice\n7.\tWhen completed, the Incoming Fields tab should look like this:\n![targetfields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture57.png)\n8.\tClick **Select** to select target table.\n![targetcomplete](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture58.png)\n9.\tSelect **Create New at Runtime** for Target Object.\n10.\tEnter **ORDERSLINEITEM** in Object Name field.\n11.\tEnter **TABLE** in the TableType field.\n12.\tEnter **PC_INFORMATICA_DB/PUBLIC** in Path field.\n![targettable](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture59.png)\n13.\tThe Target Fields tab should look like this:\n![targetfields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture60.png)\n14.\tThe Field Mapping tab should look like this:\n![targetcomplete](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture61.png)\n\n## Pushdown Optimization and Mapping\n\nLet’s configure Pushdown Optimization (PDO) in the Mapping Task and execute it.\n\n### Step 1\n\n1.\tClick **Save** to save and validate the mapping.\n2.\tClick 3 dots icon to create a **Mapping task** from the mapping\n![mct](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture62.png)\n3.\tSelect **New Mapping Task…**\n![mctnew](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture63.png)\n4.\tIn the New mapping task window, enter **mct_S3_Orders_Lineitem_to_Snowflake_PDO** in the Name field.\n5.\tSelect **Hands-on Lab** for Location.\n6.\tSelect **Informatica Cloud Hosted Agent** for Runtime Environment.\n7.\tClick **Next**. \u003CBR\u003E\n![mctdef](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture64.png) \n8.\tScroll down to the Pushdown Optimization section.\n9.\tSelect **Full** from the Pushdown Optimization dropdown list.\n10. Check **Create Temporary View** and **Create Temporary Sequence**.\n11.\tClick **Finish**. \u003CBR\u003E\n![mct](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture65.png)\n12.\tClick **Run** to execute the mapping task.\n![mctrun](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture66.png)\n\n### Step 2\nView job execution progress.\n\n1.\tClick **My Jobs** to monitor the job execution.\n![job](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture67.png)\n2.\tClick **Refresh** icon when the “Updates available” message appears.\n3.\tWhen the job is completed, make sure Status is **Success**.\n![success](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture68.png)\n4.\tDrill down to the completed job by clicking the instance name.  Then click Download Session Log to view the log.  \n![download](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture69.png)\n5. In the log you will see a message indicating that Pushdown Optimization is successfully enabled. \n![pdosuccess](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture70.png)\n6.\tYou will also see an INSERT SQL statement that Informatica generated for execution in Snowflake.\n\n```SQL\nINSERT INTO \"PC_INFORMATICA_DB\".\"PUBLIC\".\"ORDERSLINEITEM\"(\"orderkey\",\"custkey\",\"orderdate\",\"orderpriority\",\"orderstatus\",\"totalprice\",\"itemcount\",\"total_calc\") SELECT t5.t5c6, t5.t5c7, t5.t5c10, t5.t5c11, t5.t5c8, t5.t5c9, t5.t5c12::NUMBER(18,0), t5.t5c13 FROM (SELECT t3.t3c0, t3.t3c1, t3.t3c2, t3.t3c3, t3.t3c4, t3.t3c5, t3.t3c0 c0, t3.t3c1 c1, t3.t3c2 c2, t3.t3c3 c3, t3.t3c4 c4, t3.t3c5 c5, COUNT(t1.t1c0)::NUMBER(10,0), SUM(((t1.t1c1) * (1 - (t1.t1c2))) * (1 + (t1.t1c3))) FROM (SELECT t0.\"l_orderkey\"::VARCHAR(256), t0.\"l_extendedprice\"::VARCHAR(256), t0.\"l_discount\"::VARCHAR(256), t0.\"l_tax\"::VARCHAR(256) FROM \"PC_INFORMATICA_DB\".\"PUBLIC\".\"ORDERSLINEITEM_1617648173588\" AS t0) AS t1(t1c0 , t1c1 , t1c2 , t1c3) Join (SELECT t2.\"o_orderkey\"::VARCHAR(256), t2.\"o_custkey\"::VARCHAR(256), t2.\"o_orderstatus\"::VARCHAR(256), (t2.\"o_totalprice\"::NUMBER(38,2))::DOUBLE, t2.\"o_orderdate\"::VARCHAR(256), t2.\"o_orderpriority\"::VARCHAR(256) FROM \"PC_INFORMATICA_DB\".\"PUBLIC\".\"ORDERSLINEITEM_1617648173277\" AS t2) AS t3(t3c0 , t3c1 , t3c2 , t3c3 , t3c4 , t3c5) ON t3.t3c0 = t1.t1c0 GROUP BY 1, 2, 3, 4, 5, 6) AS t5(t5c0 , t5c1 , t5c2 , t5c3 , t5c4 , t5c5 , t5c6 , t5c7 , t5c8 , t5c9 , t5c10 , t5c11 , t5c12 , t5c13)\n```\n\n### Step 3\n1.\tIn Snowflake Snowsight, you should see 150,000 rows inserted in the **ORDERSLINEITEM** table.\n![snowflake](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture71.png)\n2. You can also view the Informatica-generated INSERT statement that was executed in the Snowflake query history page.  Use Filter and filter for INSERT statement.\n![snowflakehistory](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab2_Picture72.png)\n\n\u003C!-- ------------------------ --\u003E\n## Transform Semi-Structured JSON Data\n\n### Step 1 \nJSON (JavaScript Object Notation) is a text-based data format commonly used between servers and web applications and web-connected devices.  Because it is text-based, it is readable by both humans and machines.  JSON semi-structured data can be stored in Snowflake variant column alongside relational data.  In IDMC, the hierarchy parser transformation parses and transforms hierarchy data to relational data.\n\nIn this section, we'll load some JSON-formatted weather data into the PC_INFORMATICA_DB database.  You will then use it to create a hierarchical schema, then use it in a mapping to parse and transform the JSON weather forecast data, join them, add an expression to convert the temperature, then write to a new table.\n\nFor this step we will use standard Snowflake SQL commands to create a table with a Snowflake **VARIANT** column, create an external stage (pointing to an S3 buket), re-size our warehouse to **Large** to speed up the load, run a Snowflake **COPY** command to load the data, and importantly, re-size the warehouse back to **X-Small** after all of the commands complete.\n\n1. In Snowflake **Snowsight**, execute all of the following SQL statements.\n\n```SQL\n-- Set the correct ROLE, WAREHOUSE, and SCHEMA\nuse role PC_INFORMATICA_ROLE;\nuse warehouse PC_INFORMATICA_WH;\nuse schema PC_INFORMATICA_DB.PUBLIC;\n\n-- Create the table\ncreate or replace table pc_informatica_db.public.daily_14_total (\n  v variant,\n  t timestamp);\n\n-- Define a stage that describes where the data will be loaded from\ncreate or replace stage weather_data_s3\n  url = 's3://sfquickstarts/VHOL Informatica Data Management/WEATHER/';\n\n-- Re-size the warehouse so we can load the data quicker\nalter warehouse pc_informatica_wh set warehouse_size = large;\n\n-- Load the data\ncopy into daily_14_total\n   from (select $1, to_timestamp($1:time)\n   from @weather_data_s3)\n   file_format = (type=json);\n   \n-- Set the warehouse back to the original size\nalter warehouse pc_informatica_wh set warehouse_size = xsmall;\n```\n\n![copytable](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture2.png)\n\n## Configure Hierarchical Schema\n\n### Step 1\nCopy JSON data from the Snowflake table and save it locally in your computer.\n\n1.\tGo to Worksheets, execute the following query:\n```SQL\nselect * from daily_14_total limit 1000;\n```\n2. Click the first row in column V in the result panel.\n3. Click copy icon to copy JSON string to clipboard.\n![daily14total](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture1.png)\n4. Save the copied JSON in a text file locally on your computer.  Filename: **daily_14.json**.\n\n### Step 2\nCreate a Hierarchical Schema in IDMC.\n\n1.\tIn IDMC, go to **Data Integration** service.\n2.  Click **New**.\n3.\tClick **Components**.\n4.\tSelect **Hierarchical Schema** and click **Create**.\n![Hschema](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture3.png)\n5.\tEnter **Daily_14** in the Name field.\n6.\tSelect **Hands-on Lab** in the Location field if not already filled in.\n7.\tClick **Upload**.\n![upload](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture4.png)\n8.\tClick **Choose File** and select the JSON file you saved in Step 1 above.\n9.\tClick **Validate** and you should see **\"JSON Sample is Valid\"** message.\n10.\tClick **OK**.\n![upload](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture5.png)\n11.\tClick Save.\n![save](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture6.png)\n\n## Create a Mapping to Read the Weather Table\n\nCreate a mapping to read from the daily_14_total table, use hierarchy parser to parse the JSON data, join the relational data, convert the temperature and write to a new Snowflake table.\n\n### Step 1\n1.\tClick **New…**\n2.\tClick **Mappings**.\n3.\tSelect **Mapping**.\n4.\tClick **Create**.\n5.\tUnder properties, enter **m_transform_JSON** in Name field.\n6.\tEnsure Location is **Hands-on Lab**. If not, click **Browse** and select it.\n![newmapping](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture7.png)\n\n### Step 2\nLet’s configure the data source from Snowflake. \n\n1.\tClick **Source** transform in the mapping canvas to assign its properties.\n2.\tIn General tab, enter **src_daily_14** in the Name field.\n3.\tIn Source tab, select **Snowflake_[account name]** in the Connection dropdown field.\n4.\tClick **Select** to select the source table/object.\n5.\tIn Select Source Object window, scroll down to find **PC_INFORMATICA_DB** and click it.  Then click **PUBLIC** schema.\n6.\tSelect **DAILY_14_TOTAL** in the tables list on the right pane.\n7.\tClick **OK**.\n![newmapping](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture8.png)\n8.\tExpand **Query Options**.\n9.\tClick **Configure** for Filter.\n![queryoption](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture9.png)\n10.\tClick Filter Condition dropdown and select **Advanced**.\n11.\tPaste the following in the filter condition:\n\n```condition\nDAILY_14_TOTAL.T \u003E= to_date('2021-02-01','YYYY-MM-DD') AND DAILY_14_TOTAL.T \u003C= to_date('2021-02-28','YYYY-MM-DD') AND DAILY_14_TOTAL.V:city:country='US' and DAILY_14_TOTAL.V:city:name = 'San Francisco'\n```\n\n12.\tClick **OK**.\n![condition](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture10.png)\n13.\tClick **Save** to save work in progress.\n\n### Step 3\nAdd HierarchyParser transform and configure it. \n\n1.\tDrag and drop **Hierarchy Parser** transform on to the canvas.\n![Hparser](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture11.png)\n2.\tIn General tab, enter **hp_parse_JSON** in the Name field.\n3.\tIn Input Settings tab, click Select and select the **Daily_14** hierarchical schema.  Click **OK**.\n![Hparserjson](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture12.png)\n4.\tSelect the link from **src_daily_14** to **Target** and click delete icon.\n5.\tLink **src_daily_14** to **hp_parse_JSON**.  \n![link](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture13.png)\n6.\tIn Input Field Selection tab, drag and drop **V** field from Incoming Fields to Input field in Hierarchical Schema Input Fields.\n![drop](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture14.png)\n7.\tIn Field Mapping tab, expand root element by clicking the triangle icon or expand/contract icon.\n8.\tSelect (check) the following fields: **country**, **name**, **dt**, **humidity**, **max**, **min**, **description** in the Schema Structure panel.  Selected fields will automatically show up in the Relational Fields on the right panel.  Primary keys and foregin keys are auto created to make the fields relational.\n![drop](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture15.png)\n9.\tClick **Save** to save work in progress.\n\n### Step 4\nAdd a Joiner transform to link root and data relational field groups and configure it. \n\n1.\tDrag and drop **Joiner** transform on the canvas.\n2.\tLink **hp_parse_JSON** to the **Master** in Joiner transform.  \n3.\tSelect Output Group window appears.  Select **root** and click **OK**.\n![root](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture16.png)\n4.\tLink **hp_parse_JSON** again but this time to the **Detail** in Joiner transform.\n5.\tSelect **data** in Output Group and click **OK**.\n![data](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture17.png)\n6.\tIn General tab, enter **jnr_temperature** in the Name field.\n7.\tIn Join Condition tab, click add icon.\n8.\tSelect **PK_root (bigint)** in Master column and **FK_root (bigint)** in the Detail.\n![condition](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture18.png)\n9.\tIn Advanced tab, select **Sorted Input**.\n![sort](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture19.png)\n10.\tClick **Save** to save work in progress.\n\n### Step 5\nAdd another Joiner transform to join and configure it. \n\n1.\tDrag and drop **Joiner** transform on the canvas.\n2.\tLink **jnr_temperature** to the **Master** in Joiner transform.  \n3.\tLink **hp_parse_JSON** to the **Detail** in Joiner transform.\n![2ndjoiner](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture20.png)\n4.\tSelect Output Group window appears.  Select **weather** and click **OK**.\n![2ndjoinerdeet](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture21.png)\n5.  In General tab, enter **jnr_condition** in the Name field.\n6.\tIn Join Condition tab, select **PK_data (bigint)** in Master and **FK_data (bigint)** in Detail.\n![2ndcond](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture22.png)\n6.\tIn Advanced tab, select **Sorted Input**.\n7.\tClick **Save** to save work in progress.\n\n### Step 6\nAdd Expression transform to create an ordered fields in the target and convert temperature from Kelvin to Fahrenheit. \n\n1.\tDrag and drop **Expression** transform on the canvas.\n2.\tLink **jnr_condition** to the **Expression**.\n![expr](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture23.png)\n3.\tIn the General tab, enter **exp_convert_temperature** in the Name field.\n4.\tIn the Expression tab, add the following fields and expressions.\n\n| **Field Name** | **Type; Precision; Scale** | **Expression** |\n| --- | --- | --- |\n| Date | Date/time; 29; 9 | Add_To_Date(To_Date('1970-01-01','YYYY-MM-DD'),'SS',dt) |\n| City | String; 255; 0 | name |\n| Country_Name | String; 255; 0 | country |\n| Min_Temp | Decimal; 10; 1 | (min - 273.15) * 9/5 + 32 |\n| Max_Temp | Decimal; 10; 1 | (max - 273.15) * 9/5 + 32 |\n| Condition | String; 100; 0 | description |\n| Humidity_Level | Double; 15 | humidity |\n\n![expressions](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture24.png)\n\n### Step 7\nFinally, let’s configure the Target. \n\n1.\tLink **exp_convert_temperature** to Target.\n2.\tIn the General tab, enter **tgt_sf_weather_forecast** in the Name field.\n3.\tIn the Incoming Fields tab, change All Fields to **Named Fields** by clicking on that field.\n4.\tThen click **Configure** to select fields.  Select the fields that were created in the **exp_convert_temperature** expression transform.\n![targetincomingfields](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture25.png)\n5.\tIn the Target tab, select **Snowflake** connection.\n6.\tClick **Select** to select a table.\n7.\tIn the Target Object window, check **Create New at Runtime**.\n8.\tEnter **SF_WEATHER_FORECAST** in Object Name field.\n9.\tEnter **TABLE** in TableType.\n10.\tEnter **PC_INFORMATICA_DB/PUBLIC** in Path.\n11.\tClick **OK**.\n![target](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture26.png)\n12.\tIn the Field Mapping tab, the target fields are automatically mapped from the incoming fields.\n![field mapping](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture27.png)\n13.\tClick **Save**.\n\n\n## Create a Mapping Task\n\n### Step 1\n\nLet’s configure a Mapping Task and execute it.\n\n1.\tClick 3 dots to create Mapping task from the mapping\n2.\tSelect **New Mapping Task…**\n![newmct](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture28.png)\n3.\tIn the New mapping task window, enter **mct_transform_JSON** in the Name field.\n4.\tSelect **Hands-on Lab** for Location.\n5.\tSelect **Informatica Cloud Hosted Agent** for Runtime Environment.\n6.\tClick **Finish**.\n![newmct](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture29.png)\n7.\tClick Run to execute the mapping task.\n\n### Step 2\nValidate job execution result.\n\n1.\tClick **My Jobs** to monitor the job execution.\n2.\tClick **Refresh** icon when “Updates available” message appears.\n3.\tWhen the job is completed, make sure the Status is **Success**.\n4.\t**864** rows were processed.\n![864rows](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture30.png)\n5.\tIn the Snowflake table preview, there are 864 rows as well.  Notice that the columns label are in the order as configured in the Expression transform.\n![864rowsinSF](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/harness-the-power-of-snowflake-with-informatica-idmc/Lab3_Picture31.png)\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion and Resources\n\n**Congratulations! You have successfully created a free IDMC organization, completed an ELT workload to load S3 files into Snowflake, and transformed JSON using the IDMC Data Integration service.**\n\nYou can utilize your new IDMC org to load data from various data sources into Snowflake and perform data transformations using Data Integration service.  With this free IDMC org, you can load 1 billion records per month for free. In this guide, you learned how to use Pushdown Optimization/ELT to load S3 files into Snowflake, and how to transform JSON data using Hierarchy Parser transformation.\n\n### What we've covered in this guide\n- Create an IDMC org via Snowflake Partner Connect\n- Review Snowflake connection in IDMC\n- Review Snowflake objects created by the registration process\n- Configure AWS S3 connection\n- Create a Project folder\n- Create a data integration mapping to load S3 files into Snowflake\n- Configure Pushdown Optimization\n- View mapping job result \n- Confirm Pushdown Optimization is activated\n- View result in Snowflake\n- Create JSON schema in Data Integration service\n- Use Hierarchy Parser transformation\n- Create a data integration mapping to load transform JSON hierarchical data into relational format\n- Create a mapping task\n- View mapping job result \n- View result in Snowflake\n\n### Continue learning and check out these guides\n\n[Documentation: Informatica Data Integration](https://docs.informatica.com/integration-cloud/cloud-data-integration/current-version/introduction/introducing-informatica-cloud--data-integration/data-integration.html)\n\n[Documentation: Snowflake connector](https://docs.informatica.com/integration-cloud/cloud-data-integration/current-version/data-integration-connections/connection-properties/snowflake-data-cloud-connection-properties.html)\n\n[Landing page for Informatica Intelligent Cloud Services Accelerator for Snowflake](https://marketplace.informatica.com/thank-you/snowflake.html) \n\n[FAQ for Snowflake Accelerator](https://docs.informatica.com/integration-cloud/cloud-platform/h2l/1423-informatica-intelligent-cloud-services-for-snowflake-accele/frequently-asked-questions/frequently-asked-questions.html)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment","model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-3fa3829220","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-84a3732717",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-afbd5e24c4","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-dac91475fc","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances\u003C/span\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"}},":itemsOrder":["quickstart_last_modi","text"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-f6560c41fe",":items":{},":itemsOrder":[],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["contentfragment","flexible_column_cont"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-fcbfb70d4d",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-3c5d8a232d","isDeveloperGuidesPage":false,":items":{"quickstart_table_of_":{"id":"quickstart-table-of-content-23eda84be8","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/harness-the-power-of-snowflake-with-informatica-idmc",":type":"snowflake-site/components/quickstart/quickstart-table-of-content","headings":["\u003Ch2\u003EOverview\u003C/h2\u003E","\u003Ch2\u003EPrepare Your Lab Environment\u003C/h2\u003E","\u003Ch2\u003EReview the Snowflake Connection\u003C/h2\u003E","\u003Ch2\u003EReview the Snowflake Objects\u003C/h2\u003E","\u003Ch2\u003EConfigure an AWS S3 connection\u003C/h2\u003E","\u003Ch2\u003ECreate a Project Folder\u003C/h2\u003E","\u003Ch2\u003EPushdown Optimization and Mapping\u003C/h2\u003E","\u003Ch2\u003ETransform Semi-Structured JSON Data\u003C/h2\u003E","\u003Ch2\u003EConfigure Hierarchical Schema\u003C/h2\u003E","\u003Ch2\u003ECreate a Mapping to Read the Weather Table\u003C/h2\u003E","\u003Ch2\u003ECreate a Mapping Task\u003C/h2\u003E","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E"]},"quickstart_button":{"id":"quickstart-button-771525d651","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/harness-the-power-of-snowflake-with-informatica-idmc",":type":"snowflake-site/components/quickstart/quickstart-button","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"}},":itemsOrder":["quickstart_table_of_","quickstart_button"],":type":"snowflake-site/components/quickstart/quickstart-table-of-content/quickstart-table-of-content-container"}},":itemsOrder":["quickstart_table_of_"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"},"markup_editor":{"id":"markup-editor-232d427890","title":"Page CSS","cssContent":"#quickstart-template-main-flexible-container{padding:24px}#quickstart-template-main-flexible-container \u003E 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