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Coalesce data pipelines open up the power and functionality of the Snowflake platform by leveraging standardized building blocks for AI to generate repeatable, supportable code extremely rapidly.  Coalesce uses an MCP and UI optimized for data engineers to Generate, Build, Review and Refine their data pipelines.  In this lab, you&rsquo;ll explore the Coalesce interface, learn how to easily transform and model your data with natural language prompts, understand how to read and support your pipelines, and play with rich column level metadata.\u003C/p\u003E\n","\u003Cp\u003EWhat You&rsquo;ll Learn\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EHow to navigate the Coalesce interface\u003C/li\u003E\u003Cli\u003EHow and when to use AI\u003C/li\u003E\u003Cli\u003EHow to add data sources\u003C/li\u003E\u003Cli\u003EHow to prepare your data\u003C/li\u003E\u003Cli\u003EHow to build out a Data Mart\u003C/li\u003E\u003Cli\u003EHow to make changes to your data and propagate changes across pipelines\u003C/li\u003E\u003Cli\u003EHow to commit into GIT\u003C/li\u003E\u003Cli\u003EHow to add a Semantic View\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EBy completing the steps we&rsquo;ve outlined in this guide, you&rsquo;ll have mastered the basics of Coalesce and can venture into our more advanced features.\u003C/p\u003E\n","\u003Cp\u003EWhat You&rsquo;ll Need\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EBasic knowledge of SQL, database concepts, and objects\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThe&nbsp;\u003Ca href=\"https://www.google.com/chrome/\"\u003EGoogle Chrome browser\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWhat You&rsquo;ll Build\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EA Directed Acyclic Graph (DAG) representing a data pipeline leveraging AI and advanced Snowflake features.\u003C/li\u003E\u003C/ul\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-diff\"\u003E- For this Hands on Lab we will start at section 3\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch2\u003EStep 1 (Optional): Create a Snowflake Trial Account\u003C/h2\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EFill out the Snowflake trial account form&nbsp;\u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&amp;utm_medium=developer-guides&amp;utm_campaign=na-us-en-brand-trial-exact&amp;utm_content=go-eta-evg-ss-free-trial&amp;utm_term=c-g-snowflake%20trial-e&amp;_bt=579123129595&amp;_bk=snowflake%20trial&amp;_bm=e&amp;_bn=g&amp;_bg=136172947348&amp;gclsrc=aw.ds&amp;gclid=Cj0KCQiAtvSdBhD0ARIsAPf8oNm6YH7UeRqFRkVeQQ-3Akuyx2Ijzy8Yi5Om-mWMjm6dY4IpR1eGvqAaAg3MEALw_wcB&amp;utm_cta=developer-guides\"\u003Ehere\u003C/a\u003E. Use an email address that is not associated with an existing Snowflake account.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EWhen signing up for your Snowflake account, select the region that is physically closest to you and choose Enterprise as your Snowflake edition. Please note that the Snowflake edition, cloud provider, and region used when following this guide do not matter.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAfter registering, you will receive an email from Snowflake with an activation link and URL for accessing your trial account. Finish setting up your account following the instructions in the email.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStep 2: (Optional) Create a Coalesce Trial Account\u003C/h2\u003E\n","\u003Cp\u003EOnce you are logged into your Snowflake account, sign up for a free Coalesce trial account using Snowflake Partner Connect. Check your Snowflake account profile to make sure that it contains your fist and last name.\u003C/p\u003E\n","\u003Cp\u003EOnce you are logged into your Snowflake account, sign up for a free Coalesce trial account using Snowflake Partner Connect. Check your Snowflake account profile to make sure that it contains your fist and last name.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect Data Products &gt; Partner Connect in the navigation bar on the left hand side of your screen and search for Coalesce in the search bar.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EReview the connection information and then click Connect.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EWhen prompted, click Activate to activate your account. You can also activate your account later using the activation link emailed to your address.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOnce you&rsquo;ve activated your account, fill in your information to complete the activation process.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003ECongratulations! You&rsquo;ve successfully created your Coalesce trial account.\u003C/p\u003E\n","\u003Ch2\u003EStep 3 Login to Coalesce Transform\u003C/h2\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter the Coalesce URL in your browser:  \u003Ca href=\"https://app.coalescesoftware.io/\"\u003Ehttps://app.coalescesoftware.io\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter your Login details provided in the course and press \u003Cstrong\u003ESign In\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image32.png?v=a15601b5\" alt=\"Coalesce Login\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOnce signed in &ndash; find \u003Cem\u003Eyour User&rsquo;s workspace\u003C/em\u003E in the Default Project Workspaces and press the \u003Cstrong\u003ELaunch -&gt;\u003C/strong\u003E button:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image33.png?v=a15601b5\" alt=\"Coalesce Workspace\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThis will open your primary development and review interface.  Feel free to orient yourself in the Build interface &ndash; primarily the + button, the (DAG) Browser, the Node List:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image34.png?v=a15601b5\" alt=\"Coalesce Browser\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStep 4 Adding Data Sources\u003C/h2\u003E\n","\u003Cp\u003EWe are going to connect to Snowflake, identify source data and load its definition into Coalesce as Source Nodes.  This is the start of building a data pipeline - identify source data.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EPress the \u003Cstrong\u003E+\u003C/strong\u003E button above the Node List, and select \u003Cstrong\u003EAdd Sources\u003C/strong\u003E:\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image41.png?v=a15601b5\" alt=\"Data Sources\"\u003E\u003C/p\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect the Storage Location \u003Cstrong\u003ELAND\u003C/strong\u003E to select all tables in that Schema in Snowflake and Press the \u003Cstrong\u003EAdd 6 Sources\u003C/strong\u003E button at the bottom.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image42.png?v=a15601b5\" alt=\"Source Schemas\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENow you should see the Source nodes in your Graph:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image43.png?v=a15601b5\" alt=\"Landed\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStep 5 &ndash; Build a Transformation Layer using Coalesce AI\u003C/h2\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EOpen the Coalesce AI assistant by pressing the \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/copilotbutton.png?v=a15601b5\" alt=\"Coalesce AI button\"\u003E button at the top right of the Browser:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image51.png?v=a15601b5\" alt=\"Coalesce AI\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENote: the Coalesce AI Context is showing \u003Cstrong\u003EBrowser\u003C/strong\u003E and \u003Cstrong\u003EAllow Edits\u003C/strong\u003E is switched on.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the Chat with Coalesce AI box type in the text:  \u003Ccode\u003EAdd a staging layer over Source nodes\u003C/code\u003E and press the \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/sendbutton.png?v=a15601b5\" alt=\"sendbutton\"\u003E (send) button.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECheck the end result looks like this:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image54.png?v=a15601b5\" alt=\"Stage Tables\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENow edit the Node called STG_CAB_TRIPS by right clicking on the Node and choosing \u003Cstrong\u003EEdit\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image55.png?v=a15601b5\" alt=\"Edit Stage\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou should see the tables&rsquo;s columns and the Coalesce AI context should change to STG_CAB_TRIPS:\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAdd a prompt to Coalesce AI:  \u003Ccode\u003Eadd columns to calculate trip duration and average speed\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image57.png?v=a15601b5\" alt=\"Coalesce AI Tables\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ETo review the generated SQL find the 2 new columns that Coalesce AI added by scrolling to the bottom of the Column list in the Center pane &ndash; and double click on the SQL in the Transform column:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image58.png?v=a15601b5\" alt=\"Coalesce AI SQL\"\u003E\u003C/p\u003E\n","\u003Cp\u003ENote: you can write or rewrite this SQL yourself if you wanted to.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect the \u003Cstrong\u003ECreate\u003C/strong\u003E and then the \u003Cstrong\u003ERun\u003C/strong\u003E button &ndash; it should show a data preview pane at the bottom of the screen if successful.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou can review the generated code in the \u003Cstrong\u003ECode\u003C/strong\u003E pane down below:\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image510.png?v=a15601b5\" alt=\"Code pane\"\u003E\u003C/p\u003E\n","\u003Cp\u003EExpand the top line in the Code Pane and press the pop out button \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/expandbutton.png?v=a15601b5\" alt=\"Expand button\"\u003Eto the right of the \u003Cstrong\u003EInsert &hellip;\u003C/strong\u003E line to see the code:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image5102.png?v=a15601b5\" alt=\"Code pane review\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis will open the Code Viewer:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image5103.png?v=a15601b5\" alt=\"Code review\"\u003E\u003C/p\u003E\n\u003Col start=\"11\"\u003E\u003Cli\u003ENow you can create and populate \u003Cem\u003Eall\u003C/em\u003E the tables we have defined.  On the Browser choose the \u003Cstrong\u003ECreate All\u003C/strong\u003E option and once finished just press the \u003Cstrong\u003ERun All\u003C/strong\u003E button at the top right:\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image511.png?v=a15601b5\" alt=\"Create All\"\u003E\u003C/p\u003E\n","\u003Ch2\u003EStep 5.5 &ndash; Build more Transformations\u003C/h2\u003E\n","\u003Cp\u003EIn the VENDOR_DETAILS table we can see there is JSON data stored in a variant column in the HQ_ADDRESS_DETAILS column.  As part of our Transform layer we want to shred the JSON documents into a structured schema.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ERight click and \u003Cstrong\u003EEdit\u003C/strong\u003E the STG_VENDOR_DETAILS table in the Browser:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image551.png?v=a15601b5\" alt=\"Stage edit\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou can see the data in in the Preview pane below (if not click on \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/previewbutton.png?v=a15601b5\" alt=\"Preview button\"\u003E ):\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image552.png?v=a15601b5\" alt=\"Preview data\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003ENote:  you can see a JSON document in the HQ_ADDRESS_DETAILS field containing Vendors&rsquo; address details.  We want to turn this into columns (and rows) to make the address data more easily readable.\u003C/p\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect the HQ_ADDRESS_DETAILS column and choose \u003Cstrong\u003EDerive Mappings / From JSON\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image553.png?v=a15601b5\" alt=\"Derive json\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis will sample the JSON structure and identify the elements / nesting in the JSON and create columns and mappings to extract the data.  In this case we will pull the Address components stored in the JSON into their own ADDRESS / CITY / STATE etc columns.\u003C/p\u003E\n\u003Col start=\"4\"\u003E\u003Cli\u003E\n","\u003Cp\u003EPress the \u003Cstrong\u003ECreate\u003C/strong\u003E and \u003Cstrong\u003ERun\u003C/strong\u003E buttons and review the data in the new columns.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENow we have split apart the Vendors address we can use another staging node to combine the STG_VENDOR details and the STG_VENDOR_DETAILS tables.  To do this we will use a SQL Work node type (note: we could use the standard Stage node type if we wanted).\u003Cbr\u003E\nMulti-select (control-click) the STG_VENDOR and STG_VENDOR_DETAILS tables and choose the \u003Cstrong\u003EJoin Nodes\u003C/strong\u003E and choose the \u003Cstrong\u003ESQL Work\u003C/strong\u003E node:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image555.png?v=a15601b5\" alt=\"Work Node\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThis will open a SQL editor &ndash; where we can write (or generate SQL) to transform the data.  This SQL is annotated with table details\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-diff\"\u003E- Note: leave the top 2 lines alone as they contain node level annotations (id and node type)\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image556.png?v=a15601b5\" alt=\"SQL Editor\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWe could just type SQL in this editor &ndash; in this case only really the join clause needs fixing.  \u003Cstrong\u003ENote:\u003C/strong\u003E This SQL is parsed into the Column list on the right hand side when the SQL is valid.\u003C/p\u003E\n\u003Col start=\"7\"\u003E\u003Cli\u003E\n","\u003Cp\u003EAdd a line after the VENDOR_NAME (LINE 5 ABOVE) - and type the following SQL:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-code\"\u003EVENDOR_NAME||' '||STATE AS VENDOR_STATE,\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAnd check that this column is automatically added in the Column list on the right.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image557.png?v=a15601b5\" alt=\"Column list\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERather than type SQL lets get the Coalesce AI to generate SQL using the prompt:\n\u003Ccode\u003Ebuild sql that joins stage tables STG_VENDOR and STG_VENDOR_DETAILS using ctes. remove duplicate columns\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003EIf the SQL looks good copy using the \u003Cstrong\u003ECopy Code\u003C/strong\u003E option and paste it (\u003Cem\u003Eleaving the top 2 annotation lines alone\u003C/em\u003E):\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image558.png?v=a15601b5\" alt=\"Coalesce AI SQL\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPress the \u003Cstrong\u003ECreate\u003C/strong\u003E and \u003Cstrong\u003ERun\u003C/strong\u003E buttons and review the data in the Preview Pane.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStep 6 - Build and populate Datamart\u003C/h2\u003E\n","\u003Cp\u003ELets build some dimensions and facts.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EOpen the Browser and check Coalesce AI context is Browser and use prompt:\n\u003Ccode\u003EWhat dimensions and facts would you create over these stage and work tables\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image61.png?v=a15601b5\" alt=\"Coalesce AI datamart\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIf that plan looks sensible (it should) then tell Coalesce AI to go ahead and create them \u003Ccode\u003Ecreate them please\u003C/code\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image62.png?v=a15601b5\" alt=\"Coalesce AI datamart confirm\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect to \u003Cstrong\u003ECreate All\u003C/strong\u003E and \u003Cstrong\u003ERun All\u003C/strong\u003E in the Browser to create the tables on Snowflake and populate them.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image63.png?v=a15601b5\" alt=\"Datamart\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENow we will commit all your hard work to GIT to keep it safe by clicking on the \u003Cstrong\u003EGit\u003C/strong\u003E button at the bottom Left of the screen:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image64.png?v=a15601b5\" alt=\"Git dialog\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis will open a GIT dialog that shows changes to your User GIT Branch and will show changes since the last commit:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image642.png?v=a15601b5\" alt=\"Git dialog 2\"\u003E\u003C/p\u003E\n","\u003Cp\u003EPress the AI Sparkle icon \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/sparklebutton.png?v=a15601b5\" alt=\"Sparkle button\"\u003Ein the lower Commit message text box to generate a commit message and press the \u003Cstrong\u003ECommit and Push\u003C/strong\u003E button.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E this Dialog also has the ability to show other branches, checkout, create branches and merge branches.\u003C/p\u003E\n","\u003Ch2\u003EStep 7 - Review and Refine the Data Mart\u003C/h2\u003E\n","\u003Cp\u003EWe can see what we have built - and make changes in the UI.  We are going to add propagate a column using column lineage, add documentation and then re-commit to GIT.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EOpen and review DIM_VENDOR by selecting \u003Cstrong\u003EEdit\u003C/strong\u003E on the DIM_VENDOR table and view sampled data in the Preview pane at the bottom of the screen.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERight click on COUNTRY column (or any column if COUNTRY is not there) and choose \u003Cstrong\u003EView Column Lineage\u003C/strong\u003E to see graphical lineage.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image72.png?v=a15601b5\" alt=\"Column lineage\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EAt the top right select Related -&gt; \u003Cstrong\u003EAll\u003C/strong\u003E to see all tables related by lineage.\u003C/p\u003E\n","\u003Cp\u003EAnd hover over the \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/transformbutton.png?v=a15601b5\" alt=\"Transform hover\"\u003E symbol to see Transformation Details:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image722.png?v=a15601b5\" alt=\"Column lineage2\"\u003E\u003C/p\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003E\n","\u003Cp\u003ENow lets refine the model by propagating and degenerating the COUNTRY column into the downstream FACT. Click on the Ellipsis next to the COUNTRY column and choose \u003Cstrong\u003EPropagate Addition\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image73.png?v=a15601b5\" alt=\"Column lineage propagate\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECheck the checkbox at the top of the FACT_CAB_TRIPS table to choose to propagate the column into the FACT table, press the \u003Cstrong\u003EPreview\u003C/strong\u003E and \u003Cstrong\u003EApply\u003C/strong\u003E buttons:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image74.png?v=a15601b5\" alt=\"Propagate review\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThen press \u003Cstrong\u003EPropagate\u003C/strong\u003E.  This will alter the structure and mapping for the FACT table\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image75.png?v=a15601b5\" alt=\"Propagate confirm\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EFinally we should add (AI generated) documentation over the columns in the FACT table.  Edit the FACT table, and find the Description column in the table headings:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image76.png?v=a15601b5\" alt=\"Column descriptions\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis will use metadata context to generate column descriptions that can be surfaced in Documentation and any tools that point at the database\u003C/p\u003E\n\u003Col start=\"7\"\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect the header checkbox to select all the descriptions and press \u003Cstrong\u003EApply\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image77.png?v=a15601b5\" alt=\"Column descriptions apply\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPress the \u003Cstrong\u003ECreate\u003C/strong\u003E button and review the generated DDL &ndash; you will see the descriptions are pushed down to Snowflake so that any other data tools can use this documentation.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image78.png?v=a15601b5\" alt=\"Column descriptions ddl\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ELets commit your changes to GIT like we did at the end of Chapter 6.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EStep 8 (Optional) &ndash; Install a Semantic View node type\u003C/h2\u003E\n","\u003Cp\u003EWe can use the Coalesce Node Marketplace to install more node types into your environment. We have over 80 node types that embody Snowflake best practises and standards built in.  We are going to install a Semantic view node.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EOpen the \u003Cstrong\u003EBuild Settings\u003C/strong\u003E at the bottom left of your screen:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image81.png?v=a15601b5\" alt=\"Build settings\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect \u003Cstrong\u003EPackages\u003C/strong\u003E and press the \u003Cstrong\u003EBrowse\u003C/strong\u003E button (in the middle or top right)\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image82.png?v=a15601b5\" alt=\"Package Browse\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EFeel free to scroll through the list of available Node type packages available - these are provided at no charge.  In the Search enter \u003Cstrong\u003ESemantic View\u003C/strong\u003E and click to view the details.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image83.png?v=a15601b5\" alt=\"Marketplace\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECopy the \u003Cstrong\u003EPackage ID:\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image84.png?v=a15601b5\" alt=\"Package ID\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EBack in Coalesce / Build Settings, press the \u003Cstrong\u003EInstall\u003C/strong\u003E button and paste in the Package ID.  The version should default to the latest.  And use Semantic for the Alias, then press \u003Cstrong\u003EInstall\u003C/strong\u003E.:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image85.png?v=a15601b5\" alt=\"Package Install\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the Browser - you can now create a node of type Semantic View.  Select the FACT_CAB_TRIPS right-click and choose \u003Cstrong\u003EAdd Node / Semantic / Semantic View\u003C/strong\u003E:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image86.png?v=a15601b5\" alt=\"SV\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EChoose the simplest options to start with:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EDont Create Schema Table\u003C/li\u003E\u003Cli\u003EFor Primary Key choose TRIP_ID\u003C/li\u003E\u003Cli\u003EDont Enable Relationships\u003C/li\u003E\u003Cli\u003EDont Enable Facts\u003C/li\u003E\u003Cli\u003EDont Enable Dimensions\u003C/li\u003E\u003Cli\u003EEnable Metrics:\n\u003Cul\u003E\u003Cli\u003EChoose to SUM - FARE_AMOUNT with an Alias of TOTAL_FARE_AMOUNT\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EFeel free to read the documentation to understand the other options.  But for now press \u003Cstrong\u003ECreate\u003C/strong\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image87.png?v=a15601b5\" alt=\"SV1\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image872.png?v=a15601b5\" alt=\"SV2\"\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch2\u003EConclusion And Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations on completing your lab. You've mastered working with AI, Coalesce Transform and the Coalesce Marketplace. Be sure to reference this exercise if you ever need a refresher.\u003C/p\u003E\n","\u003Cp\u003EWe encourage you to continue working with Coalesce Transform by using it with your own data and use cases and by using some of the more advanced capabilities not covered in this lab.\u003C/p\u003E\n","\u003Cp\u003EWhat You Learned\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to navigate the Coalesce interface\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to leverage AI to build repeatable / supportable data pipelines.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to add data sources to your graph\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to prepare your data for transformations with Stage nodes\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to leverage GIT for Version Control and Branching\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHow to extend the Node Types from the Coalesce Marketplace with other Snowflake objects such as Dynamic tables or Semantic Views\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ERelated Resources\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://coalesce.io/get-started/\"\u003EGetting Started\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://docs.coalesce.io/docs\"\u003EDocumentation\u003C/a\u003E&nbsp;&amp;&nbsp;\u003Ca href=\"https://docs.coalesce.io/docs/quick-start\"\u003EQuickstart Guide\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://fast.wistia.com/embed/channel/foemj32jtv\"\u003EVideo Tutorials\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"mailto:support@coalesce.io\"\u003EHelp Center\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EReach out to our sales team at&nbsp;\u003Ca href=\"https://coalesce.io/contact-us/\"\u003Ecoalesce.io\u003C/a\u003E&nbsp;or by emailing&nbsp;\u003Ca href=\"mailto:sales@coalesce.io\"\u003Esales@coalesce.io\u003C/a\u003E&nbsp;to learn more.\u003C/p\u003E"],"title":"Build Supportable Data Pipelines with AI in Coalesce","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"## Overview\n\nThis Hands-On Lab exercise is designed to help you master building data pipelines using AI within Coalesce.  Coalesce data pipelines open up the power and functionality of the Snowflake platform by leveraging standardized building blocks for AI to generate repeatable, supportable code extremely rapidly.  Coalesce uses an MCP and UI optimized for data engineers to Generate, Build, Review and Refine their data pipelines.  In this lab, you’ll explore the Coalesce interface, learn how to easily transform and model your data with natural language prompts, understand how to read and support your pipelines, and play with rich column level metadata.\n\nWhat You’ll Learn\n\n* How to navigate the Coalesce interface  \n* How and when to use AI  \n* How to add data sources   \n* How to prepare your data   \n* How to build out a Data Mart  \n* How to make changes to your data and propagate changes across pipelines  \n* How to commit into GIT  \n* How to add a Semantic View\n\nBy completing the steps we’ve outlined in this guide, you’ll have mastered the basics of Coalesce and can venture into our more advanced features.\n\nWhat You’ll Need\n\n1. Basic knowledge of SQL, database concepts, and objects\n\n2. The [Google Chrome browser](https://www.google.com/chrome/)\n\nWhat You’ll Build\n\n* A Directed Acyclic Graph (DAG) representing a data pipeline leveraging AI and advanced Snowflake features.\n\n```diff\n- For this Hands on Lab we will start at section 3\n```\n\n## Step 1 (Optional): Create a Snowflake Trial Account\n\n1. Fill out the Snowflake trial account form [here](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_campaign=na-us-en-brand-trial-exact&utm_content=go-eta-evg-ss-free-trial&utm_term=c-g-snowflake%20trial-e&_bt=579123129595&_bk=snowflake%20trial&_bm=e&_bn=g&_bg=136172947348&gclsrc=aw.ds&gclid=Cj0KCQiAtvSdBhD0ARIsAPf8oNm6YH7UeRqFRkVeQQ-3Akuyx2Ijzy8Yi5Om-mWMjm6dY4IpR1eGvqAaAg3MEALw_wcB&utm_cta=developer-guides). Use an email address that is not associated with an existing Snowflake account.\n\n2. When signing up for your Snowflake account, select the region that is physically closest to you and choose Enterprise as your Snowflake edition. Please note that the Snowflake edition, cloud provider, and region used when following this guide do not matter.\n\n3. After registering, you will receive an email from Snowflake with an activation link and URL for accessing your trial account. Finish setting up your account following the instructions in the email.\n\n## Step 2: (Optional) Create a Coalesce Trial Account \n\nOnce you are logged into your Snowflake account, sign up for a free Coalesce trial account using Snowflake Partner Connect. Check your Snowflake account profile to make sure that it contains your fist and last name.\n\nOnce you are logged into your Snowflake account, sign up for a free Coalesce trial account using Snowflake Partner Connect. Check your Snowflake account profile to make sure that it contains your fist and last name.\n\n1. Select Data Products \\\u003E Partner Connect in the navigation bar on the left hand side of your screen and search for Coalesce in the search bar.\n\n2. Review the connection information and then click Connect.\n\n3. When prompted, click Activate to activate your account. You can also activate your account later using the activation link emailed to your address.\n\n4. Once you’ve activated your account, fill in your information to complete the activation process.\n\nCongratulations\\! You’ve successfully created your Coalesce trial account. \n\n## Step 3 Login to Coalesce Transform\n\n1. Enter the Coalesce URL in your browser:  [https://app.coalescesoftware.io](https://app.coalescesoftware.io/)\n\n2. Enter your Login details provided in the course and press **Sign In**:\n\n\t![Coalesce Login](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image32.png?v=a15601b5)\n\n3. Once signed in – find *your User’s workspace* in the Default Project Workspaces and press the **Launch \\-\\\u003E** button:\n\n   ![Coalesce Workspace](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image33.png?v=a15601b5)\n\n4. This will open your primary development and review interface.  Feel free to orient yourself in the Build interface – primarily the \\+ button, the (DAG) Browser, the Node List:\n\n   ![Coalesce Browser](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image34.png?v=a15601b5)\n\n## Step 4 Adding Data Sources\n\nWe are going to connect to Snowflake, identify source data and load its definition into Coalesce as Source Nodes.  This is the start of building a data pipeline \\- identify source data.\n\n1.  Press the **\\+** button above the Node List, and select **Add Sources**:\n\n   ![Data Sources](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image41.png?v=a15601b5)\n\n2. Select the Storage Location **LAND** to select all tables in that Schema in Snowflake and Press the **Add 6 Sources** button at the bottom.\n     \n   ![Source Schemas](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image42.png?v=a15601b5)\n\n   \n3. Now you should see the Source nodes in your Graph:\n\n   ![Landed](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image43.png?v=a15601b5)\n\n\n## Step 5 – Build a Transformation Layer using Coalesce AI\n\n1. Open the Coalesce AI assistant by pressing the ![Coalesce AI button](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/copilotbutton.png?v=a15601b5) button at the top right of the Browser:\n\n   ![Coalesce AI](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image51.png?v=a15601b5)\n\n   Note: the Coalesce AI Context is showing **Browser** and **Allow Edits** is switched on.  \n\n3. In the Chat with Coalesce AI box type in the text:  ```Add a staging layer over Source nodes``` and press the ![sendbutton](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/sendbutton.png?v=a15601b5) (send) button.  \n\n4. Check the end result looks like this:\n\n   ![Stage Tables](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image54.png?v=a15601b5)\n\n5. Now edit the Node called STG_CAB_TRIPS by right clicking on the Node and choosing **Edit**:\n\n   ![Edit Stage](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image55.png?v=a15601b5)\n\n6. You should see the tables’s columns and the Coalesce AI context should change to STG\\_CAB\\_TRIPS:\n\n7. Add a prompt to Coalesce AI:  ```add columns to calculate trip duration and average speed```\n\n   ![Coalesce AI Tables](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image57.png?v=a15601b5)\n\n8. To review the generated SQL find the 2 new columns that Coalesce AI added by scrolling to the bottom of the Column list in the Center pane – and double click on the SQL in the Transform column:\n\n   ![Coalesce AI SQL](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image58.png?v=a15601b5)\n\n   Note: you can write or rewrite this SQL yourself if you wanted to.  \n\n9. Select the **Create** and then the **Run** button – it should show a data preview pane at the bottom of the screen if successful.\n\n10. You can review the generated code in the **Code** pane down below:\n\n   ![Code pane](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image510.png?v=a15601b5)\n\nExpand the top line in the Code Pane and press the pop out button ![Expand button](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/expandbutton.png?v=a15601b5)to the right of the **Insert …** line to see the code:\n\n   ![Code pane review](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image5102.png?v=a15601b5)\n\nThis will open the Code Viewer:\n\n   ![Code review](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image5103.png?v=a15601b5)\n\n11. Now you can create and populate *all* the tables we have defined.  On the Browser choose the **Create All** option and once finished just press the **Run All** button at the top right:\n\n   ![Create All](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image511.png?v=a15601b5)\n\n## Step 5.5 – Build more Transformations\n\nIn the VENDOR\\_DETAILS table we can see there is JSON data stored in a variant column in the HQ\\_ADDRESS\\_DETAILS column.  As part of our Transform layer we want to shred the JSON documents into a structured schema.  \n\n1. Right click and **Edit** the STG\\_VENDOR\\_DETAILS table in the Browser:\n\n   ![Stage edit](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image551.png?v=a15601b5)\n\n2. You can see the data in in the Preview pane below (if not click on ![Preview button](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/previewbutton.png?v=a15601b5) ):\n\n   ![Preview data](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image552.png?v=a15601b5)\n\nNote:  you can see a JSON document in the HQ\\_ADDRESS\\_DETAILS field containing Vendors’ address details.  We want to turn this into columns (and rows) to make the address data more easily readable.\n\n3. Select the HQ\\_ADDRESS\\_DETAILS column and choose **Derive Mappings / From JSON**:\n\n   ![Derive json](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image553.png?v=a15601b5)\n\nThis will sample the JSON structure and identify the elements / nesting in the JSON and create columns and mappings to extract the data.  In this case we will pull the Address components stored in the JSON into their own ADDRESS / CITY / STATE etc columns.  \n\n4. Press the **Create** and **Run** buttons and review the data in the new columns.  \n   \n5. Now we have split apart the Vendors address we can use another staging node to combine the STG\\_VENDOR details and the STG\\_VENDOR\\_DETAILS tables.  To do this we will use a SQL Work node type (note: we could use the standard Stage node type if we wanted).    \n   Multi-select (control-click) the STG\\_VENDOR and STG\\_VENDOR\\_DETAILS tables and choose the **Join Nodes** and choose the **SQL Work** node: \n\n   ![Work Node](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image555.png?v=a15601b5)\n\n6. This will open a SQL editor – where we can write (or generate SQL) to transform the data.  This SQL is annotated with table details\n   ```diff\n   - Note: leave the top 2 lines alone as they contain node level annotations (id and node type)\n   ```\n\n   ![SQL Editor](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image556.png?v=a15601b5)\n\nWe could just type SQL in this editor – in this case only really the join clause needs fixing.  **Note:** This SQL is parsed into the Column list on the right hand side when the SQL is valid. \n\n7. Add a line after the VENDOR_NAME (LINE 5 ABOVE) \\- and type the following SQL:  \n   \t```code\n   VENDOR_NAME||' '||STATE AS VENDOR_STATE,\n   ```\n   And check that this column is automatically added in the Column list on the right.  \n\n   ![Column list](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image557.png?v=a15601b5)\n\n8. Rather than type SQL lets get the Coalesce AI to generate SQL using the prompt:\n   ```build sql that joins stage tables STG_VENDOR and STG_VENDOR_DETAILS using ctes. remove duplicate columns```\n\n   If the SQL looks good copy using the **Copy Code** option and paste it (*leaving the top 2 annotation lines alone*):\n\n   ![Coalesce AI SQL](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image558.png?v=a15601b5)\n\n10. Press the **Create** and **Run** buttons and review the data in the Preview Pane.\n\n## Step 6 \\- Build and populate Datamart\n\nLets build some dimensions and facts.\n\n1. Open the Browser and check Coalesce AI context is Browser and use prompt:\n   ```What dimensions and facts would you create over these stage and work tables``` \n\n   ![Coalesce AI datamart](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image61.png?v=a15601b5)\n\n3. If that plan looks sensible (it should) then tell Coalesce AI to go ahead and create them ```create them please```\n\n   ![Coalesce AI datamart confirm](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image62.png?v=a15601b5)\n\n4. Select to **Create All** and **Run All** in the Browser to create the tables on Snowflake and populate them.\n\n   ![Datamart](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image63.png?v=a15601b5)\n\n5. Now we will commit all your hard work to GIT to keep it safe by clicking on the **Git** button at the bottom Left of the screen:\n\n   ![Git dialog](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image64.png?v=a15601b5)\n\nThis will open a GIT dialog that shows changes to your User GIT Branch and will show changes since the last commit:\n\n   ![Git dialog 2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image642.png?v=a15601b5)\n\nPress the AI Sparkle icon ![Sparkle button](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/sparklebutton.png?v=a15601b5)in the lower Commit message text box to generate a commit message and press the **Commit and Push** button.\n\n**Note:** this Dialog also has the ability to show other branches, checkout, create branches and merge branches.\n\n## Step 7 \\- Review and Refine the Data Mart\n\nWe can see what we have built \\- and make changes in the UI.  We are going to add propagate a column using column lineage, add documentation and then re-commit to GIT.\n\n1. Open and review DIM\\_VENDOR by selecting **Edit** on the DIM\\_VENDOR table and view sampled data in the Preview pane at the bottom of the screen.\n\n2. Right click on COUNTRY column (or any column if COUNTRY is not there) and choose **View Column Lineage** to see graphical lineage. \n\n   ![Column lineage](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image72.png?v=a15601b5)\n\nAt the top right select Related \\-\\\u003E **All** to see all tables related by lineage.\n\nAnd hover over the ![Transform hover](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/transformbutton.png?v=a15601b5) symbol to see Transformation Details:\n\n   ![Column lineage2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image722.png?v=a15601b5)\n\n3. Now lets refine the model by propagating and degenerating the COUNTRY column into the downstream FACT. Click on the Ellipsis next to the COUNTRY column and choose **Propagate Addition**:\n\n   ![Column lineage propagate](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image73.png?v=a15601b5)\n\n4. Check the checkbox at the top of the FACT\\_CAB\\_TRIPS table to choose to propagate the column into the FACT table, press the **Preview** and **Apply** buttons:\n\n   ![Propagate review](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image74.png?v=a15601b5)\n\n5. Then press **Propagate**.  This will alter the structure and mapping for the FACT table\n\n   ![Propagate confirm](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image75.png?v=a15601b5)\n\n6. Finally we should add (AI generated) documentation over the columns in the FACT table.  Edit the FACT table, and find the Description column in the table headings:\n\n   ![Column descriptions](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image76.png?v=a15601b5)\n\nThis will use metadata context to generate column descriptions that can be surfaced in Documentation and any tools that point at the database\n\n7. Select the header checkbox to select all the descriptions and press **Apply**:\n\n   ![Column descriptions apply](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image77.png?v=a15601b5)\n\n8. Press the **Create** button and review the generated DDL – you will see the descriptions are pushed down to Snowflake so that any other data tools can use this documentation.\n\n   ![Column descriptions ddl](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image78.png?v=a15601b5)\n\n9. Lets commit your changes to GIT like we did at the end of Chapter 6\\.\n\n## Step 8 (Optional) – Install a Semantic View node type\n\nWe can use the Coalesce Node Marketplace to install more node types into your environment. We have over 80 node types that embody Snowflake best practises and standards built in.  We are going to install a Semantic view node.  \n\n1. Open the **Build Settings** at the bottom left of your screen:\n\n   ![Build settings](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image81.png?v=a15601b5)\n\n2. Select **Packages** and press the **Browse** button (in the middle or top right)\n\n   ![Package Browse](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image82.png?v=a15601b5)\n\n3. Feel free to scroll through the list of available Node type packages available \\- these are provided at no charge.  In the Search enter **Semantic View** and click to view the details.\n   \n   ![Marketplace](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image83.png?v=a15601b5)\n\n4. Copy the **Package ID:**\n   \n   ![Package ID](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image84.png?v=a15601b5)\n\n5. Back in Coalesce / Build Settings, press the **Install** button and paste in the Package ID.  The version should default to the latest.  And use Semantic for the Alias, then press **Install**.:\n\n   ![Package Install](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image85.png?v=a15601b5)\n\n6. In the Browser \\- you can now create a node of type Semantic View.  Select the FACT\\_CAB\\_TRIPS right-click and choose **Add Node / Semantic / Semantic View**:\n\n   ![SV](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image86.png?v=a15601b5)\n\n7. Choose the simplest options to start with:  \n   * Dont Create Schema Table  \n   * For Primary Key choose TRIP\\_ID  \n   * Dont Enable Relationships  \n   * Dont Enable Facts  \n   * Dont Enable Dimensions  \n   * Enable Metrics:  \n     * Choose to SUM \\- FARE\\_AMOUNT with an Alias of TOTAL\\_FARE\\_AMOUNT\n\n\tFeel free to read the documentation to understand the other options.  But for now press **Create**\n\n   ![SV1](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image87.png?v=a15601b5)\n\n   ![SV2](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/build-supportable-data-pipelines-with-ai-in-coalesce/image872.png?v=a15601b5)\n\n## Conclusion And Resources\n\nCongratulations on completing your lab. You've mastered working with AI, Coalesce Transform and the Coalesce Marketplace. Be sure to reference this exercise if you ever need a refresher.\n\nWe encourage you to continue working with Coalesce Transform by using it with your own data and use cases and by using some of the more advanced capabilities not covered in this lab.\n\nWhat You Learned\n\n* How to navigate the Coalesce interface\n\n* How to leverage AI to build repeatable / supportable data pipelines.\n\n* How to add data sources to your graph\n\n* How to prepare your data for transformations with Stage nodes\n\n* How to leverage GIT for Version Control and Branching\n\n* How to extend the Node Types from the Coalesce Marketplace with other Snowflake objects such as Dynamic tables or Semantic Views\n\n\nRelated Resources\n\n* [Getting Started](https://coalesce.io/get-started/)\n\n* [Documentation](https://docs.coalesce.io/docs) & [Quickstart Guide](https://docs.coalesce.io/docs/quick-start)\n\n* [Video Tutorials](https://fast.wistia.com/embed/channel/foemj32jtv)\n\n* [Help Center](mailto:support@coalesce.io)\n\nReach out to our sales team at [coalesce.io](https://coalesce.io/contact-us/) or by emailing [sales@coalesce.io](mailto:sales@coalesce.io) to learn more.\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":false,":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-4b65f013db","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-837873b08c",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-8f32757e75","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-05-27",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-76f49b9f5f","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. 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1 (Optional): Create a Snowflake Trial Account\u003C/h2\u003E","\u003Ch2\u003EStep 2: (Optional) Create a Coalesce Trial Account\u003C/h2\u003E","\u003Ch2\u003EStep 3 Login to Coalesce Transform\u003C/h2\u003E","\u003Ch2\u003EStep 4 Adding Data Sources\u003C/h2\u003E","\u003Ch2\u003EStep 5 – Build a Transformation Layer using Coalesce AI\u003C/h2\u003E","\u003Ch2\u003EStep 5.5 – Build more Transformations\u003C/h2\u003E","\u003Ch2\u003EStep 6 - Build and populate Datamart\u003C/h2\u003E","\u003Ch2\u003EStep 7 - Review and Refine the Data Mart\u003C/h2\u003E","\u003Ch2\u003EStep 8 (Optional) – Install a Semantic View node type\u003C/h2\u003E","\u003Ch2\u003EConclusion And 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inbox!\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-04"},"marketo_v2":{"id":"marketo-v2-07fbf24c2d","marketoForm":{"edit":false,"successUrl":null,"formId":"45871","hidden":null,"script":null,"values":null},"marketoConfigured":true,"formConfigured":true,"munchkinId":"252-RFO-227","serverInstance":"252-RFO-227.mktoweb.com",":type":"snowflake-site/components/form/marketo-v2"}},":itemsOrder":["text","marketo_v2"]}},":itemsOrder":["container"]},"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_copy":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn 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