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Mission Criticality, and Analytics While Supporting More Data Types"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"blog_text_4":"aem-GridColumn aem-GridColumn--default--12","blog_text_3":"aem-GridColumn aem-GridColumn--default--12","blog_text_2":"aem-GridColumn aem-GridColumn--default--12","blog_text_1":"aem-GridColumn aem-GridColumn--default--12","title_v2_8":"aem-GridColumn aem-GridColumn--default--12","title_v2_9":"aem-GridColumn aem-GridColumn--default--12","blog_text_9":"aem-GridColumn aem-GridColumn--default--12","title_v2_4":"aem-GridColumn aem-GridColumn--default--12","blog_text_8":"aem-GridColumn aem-GridColumn--default--12","title_v2_5":"aem-GridColumn aem-GridColumn--default--12","blog_text_7":"aem-GridColumn aem-GridColumn--default--12","blog_text_6":"aem-GridColumn 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Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. These silos can have major consequences in the form of greater operational burden, security vulnerabilities, increased total cost of ownership, incomplete insights, and reduced agility. \u003C/p\u003E\u003Cp\u003EThis is where Snowflake’s single, unified platform comes in: helping break down silos and simplify architectures. At \u003Ca href=\"https://www.snowflake.com/summit/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003ESummit 2023\u003C/a\u003E, we announced a series of new advancements to the platform that help customers break down silos through: improved performance, more visibility and control over spend, enhanced governance, more advanced analytics, expanded business continuity capabilities, innovations around Apache Iceberg, the ability to get more value from unstructured data with large language models (LLMs), and the extension of ML-powered capabilities to more analysts. We’re going to summarize these new capabilities in this blog post.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_1":{"id":"blog-title-a28eee7af0","propertiesId":"continuously-improving-customers-price-for-performance","type":"heading3","lines":["Continuously improving customers’ price for performance"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_2":{"id":"blog-text-e9cba662b4","text":"\u003Cp\u003ESnowflake’s most important \u003Ca href=\"https://www.snowflake.com/company/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003Evalue\u003C/a\u003E is to “put customers first.” We’re focused on delivering continuous innovations with nearly every product release to improve performance and efficiency, and many of these platform improvements are rolled out automatically to customers with no action or effort required on their part. \u003C/p\u003E\u003Cp\u003EThis is why we’re introducing the new Snowflake Performance Index (SPI), an aggregate index for measuring improvements in Snowflake performance experienced by customers over time. Between when we began tracking the SPI on August 25, 2022 to April 30, 2023, query duration time improved by 15 percent for customers’ stable workloads in Snowflake.* This is one of the many \u003Ca href=\"https://www.snowflake.com/blog/commitment-to-improving-economics-for-customers/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003Eways\u003C/a\u003E Snowflake is helping customers get more value from the platform.\u003C/p\u003E\u003Cp\u003ESearch Optimization (SO) Service speeds up query performance by quickly finding the needle in the haystack to return a small number of rows on large tables. We opened SO to accommodate more data types including VARIANT, ARRAY, OBJECT and GEOGRAPHY and we’re expanding the service to support more use cases in general availability like: speeding up substring searches in text columns, and working with other performance features like Query Acceleration Service. \u003C/p\u003E\u003Cp\u003ELow latency TOP-K analytics enable customers to only retrieve the most relevant answers from a large result set by rank. Additional pruning features, now GA, help reduce the need to scan across entire data sets, thereby enabling faster searches.\u003C/p\u003E\u003Cp\u003ETo help customers more easily analyze the structure of expensive queries and identify operators that cause performance problems, we will soon be making Programmatic Access to Query Profile available in GA. \u003C/p\u003E\u003Cp\u003ELearn more about the \u003Ca href=\"https://docs.snowflake.com/en/release-notes/performance-improvements\" target=\"_blank\" rel=\"noreferrer noopener\"\u003Econtinuous performance improvements\u003C/a\u003E we make to the platform on an ongoing basis. \u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_2":{"id":"blog-title-45880a3593","propertiesId":"gain-more-visibility-and-control-over-your-snowflake-spend","type":"heading3","lines":["Gain more visibility and control over your Snowflake spend"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_3":{"id":"blog-text-8530f8aac8","text":"\u003Cp\u003EWe announced three new features to help users gain better visibility and control over their Snowflake spend, while maximizing their existing resources and driving more cost predictability.\u003C/p\u003E\u003Cp\u003EFirst, our new warehouse utilization feature (in private preview) gives customers a single metric to help them better estimate capacity, size warehouses appropriately, and optimize their warehouse spend. \u003C/p\u003E\u003Cp\u003ESnowflake’s new per-query cost attribution feature (private preview coming soon) gives users the ability to attribute warehouse spend to different queries. For example, if a centralized team is running Snowflake for several departments with different billing — let's say HR, Finance, and IT — that central team can now see how many Snowflake credits each department is using. This helps with chargeback scenarios, in which centralized departments need to chargeback different teams for the amount of credits they’ve actually used on Snowflake.\u003C/p\u003E\u003Cp\u003EWe also announced that Budgets will be in public preview soon to give users even more control. A Budget defines a spending limit for a specific time interval on the compute costs for a group of Snowflake objects. Budgets help customers monitor warehouse and serverless usage, including the usage of automatic clustering, materialized views, search optimization, and more. When the spending limit is projected to be exceeded, a daily reminder email will be sent.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_3":{"id":"blog-title-c5ab3d1daf","propertiesId":"supporting-mission-criticality-with-enhanced-native-data-governance-new-snowflake-uis-a-growing-compliance-footprint-and-updated-cross-cloud-business-continuity","type":"heading3","lines":["Supporting mission criticality with enhanced native data governance, new Snowflake UIs, a growing compliance footprint, and updated cross-cloud business continuity"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_4":{"id":"blog-text-7ce1462210","text":"\u003Cp\u003EAt Snowflake, we’re committed to providing best-in-class native data governance features for customers entrusting our platform with their data. These customers span many countries around the world and, as such, we’ve expanded classification capabilities to support UK-, Australia-, and Canada-based data (in private preview). \u003C/p\u003E\u003Cp\u003ECustomers can also now more easily manage sensitive and personally identifiable (PII) data by leveraging an enhanced user experience. The Classification UI (in private preview) provides customers with an intuitive workflow in Snowsight to classify and tag tables in the desired schema while the Data Governance UI (in GA soon) offers an at-a-glance summary of tagged and protected assets in Snowsight, with workflows to take action. \u003C/p\u003E\u003Cp\u003EWe are further expanding our data governance capabilities with native data quality monitoring (private preview coming soon) through out-of-the-box metrics for data freshness, volume, accuracy and common statistics along with the ability to define your own custom metrics. Snowflake delivers these building blocks for data quality monitoring that our partners can further leverage and extend. \u003C/p\u003E\u003Cp\u003EAside from native data governance innovations, we are also constantly working to expand our compliance footprint. Most notably, Snowflake recently launched the \u003Ca href=\"/en/blog/new-government-education-data-cloud/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003EGovernment & Education Data Cloud\u003C/a\u003E industry offering earlier in June and has obtained authorization for StateRAMP High on AWS GovCloud. To help federal, state and local agencies meet security and compliance standards, Snowflake now supports regulated workloads such as Criminal Justice Information Services (CJIS). \u003C/p\u003E\u003Cp\u003ESnowgrid is a uniquely differentiated cross-cloud technology layer that interconnects your business’ ecosystems across regions and clouds so you can operate at global scale. Snowgrid powers Snowflake’s cross-cloud business continuity capabilities and we are excited to announce that Account Replication is now generally available. This feature expands replication beyond databases to account metadata and integrations, making business continuity turnkey. Snowflake users can now recover their account and client connections in seconds, at virtually any scale, when paired with \u003Ca href=\"https://www.snowflake.com/blog/recover-in-seconds-with-snowflake-client-redirect/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003EClient Redirect\u003C/a\u003E. \u003C/p\u003E\u003Cp\u003ETo simplify and streamline the user experience for cross-cloud business continuity, customers can set up, configure, and monitor account replications through an intuitive UI (public preview coming soon). This UI allows them to manage replication sources, destinations, objects to be replicated, and timings.\u003C/p\u003E\u003Cp\u003EWith the replication of Stages, Snowpipe, COPY (ingestion), and directory tables soon to be in public preview, customers will be able to replicate entire ETL pipelines (public preview coming soon) to protect against Snowflake becoming unavailable in a region. This means customers can failover pipelines and Snowflake guarantees idempotent loads. \u003C/p\u003E\u003Cp\u003ESnowflake users can now also replicate Streams and Tasks in GA — these are often used together to build modern data pipelines. We have thousands of Snowflake customers developing powerful data transformation pipelines every single day. With the ability to replicate Streams and Tasks, your data pipelines will now also seamlessly work on your secondary Snowflake accounts. \u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_4":{"id":"blog-title-148822515e","propertiesId":"advanced-analytics-with-new-support-of-geometry-new-financial-services-capabilities-and-fast-sql-functions","type":"heading3","lines":["Advanced analytics with new support of GEOMETRY, new financial services capabilities, and fast SQL functions"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_5":{"id":"blog-text-b2723e3701","text":"\u003Cp\u003EAt Snowflake, we’re committed to customer convenience, flexibility, and efficiency, and we’re showing this through our advancements in analytics. \u003C/p\u003E\u003Cp\u003EWe’ve made significant investments as part of our effort to become the leading platform for geospatial data. 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In particular, the inclusion of Banker's Rounding aids in reducing errors during financial analysis, catering to the specific requirements of bankers and financial professionals.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_5":{"id":"blog-title-8cb8821745","propertiesId":"updated-apache-iceberg-support-with-more-simplicity-better-performance","type":"heading3","lines":["Updated Apache Iceberg support with more simplicity, better performance"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_6":{"id":"blog-text-26220b7c81","text":"\u003Cp\u003E\u003Ca href=\"https://iceberg.apache.org\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"\u003EApache Iceberg\u003C/a\u003E continues to grow in popularity as the industry standard for open table formats. 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Building on our native \u003Ca href=\"https://www.snowflake.com/blog/unstructured-data-public-preview/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003Esupport for unstructured data\u003C/a\u003E, Snowflake’s built-in Document AI (in private preview) makes it easier for organizations to understand and extract value from documents using natural language.\u003Cbr\u003E\u003Cbr\u003EDocument AI leverages a purpose-built, multimodal LLM. By natively integrating this model within the Snowflake platform, organizations can easily extract content, such as invoice amounts or contractual terms from documents securely stored in Snowflake, and fine-tune results using a visual interface and natural language. 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This capability removes the complexity of ML frameworks through familiar SQL functions available directly through Snowflake or through integrations with BI/analytics tools like Sigma Computing.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/blog/blog-text"},"title_v2_9":{"id":"blog-title-3fdf912d92","propertiesId":"learn-more-on-demand","type":"heading3","lines":["Learn more on-demand"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_10":{"id":"blog-text-6dd9b9fee3","text":"\u003Cp\u003ETo learn more about these innovations, visit \u003Ca href=\"https://www.snowflake.com/summit\" target=\"_blank\" rel=\"noreferrer noopener\"\u003Ethe Summit 2023 page\u003C/a\u003E.\u003C/p\u003E\u003Cp\u003E*Based on internal Snowflake data from August 25, 2022 to April 30, 2023. 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