{"id":5532,"date":"2025-11-07T13:36:25","date_gmt":"2025-11-07T11:36:25","guid":{"rendered":"https:\/\/etlia.fi\/?p=5532"},"modified":"2025-11-07T13:50:59","modified_gmt":"2025-11-07T11:50:59","slug":"snowflake-world-tour-2025","status":"publish","type":"post","link":"https:\/\/etlia.fi\/en\/snowflake-world-tour-2025\/","title":{"rendered":"Snowflake World Tour 2025 \u2013 What\u2019s New in the World of Data, AI and Applications\u00a0"},"content":{"rendered":"\n

The Snowflake World Tour 2025<\/a> took place this year on October 14th in Stockholm, once again at the 3 Arena. The event gathered over 1,500 participants and featured 33 sessions, 57 speakers, and 11 business areas. With a wide variety of sessions covering data, artificial intelligence and application development, every attendee was able to build their own agenda for the day \u2014 including me.<\/p>\n\n\n\n

The day was complemented by numerous partner stands, offering opportunities to explore new technological solutions and exchange ideas with familiar partners. It also provided an excellent chance to network and share thoughts with other participants.<\/p>\n\n\n\n

Snowflake World Tour 2025 Keynote Sessions<\/strong> <\/h2>\n\n\n\n

The keynote sessions provided a comprehensive overview of how Snowflake sees the interplay of data, AI and applications transforming business. The presentations emphasized that the role of data in business is no longer limited to reporting \u2014 it\u2019s becoming a true driver of growth. The synergy between AI, applications and analytics determines who leads the way.<\/p>\n\n\n\n

The keynotes also showcased how Snowflake supports the entire data lifecycle \u2014 from collection to analytics and applications \u2014 in a seamless, scalable, and secure way.<\/p>\n\n\n\n

Several global enterprises shared how they leverage Snowflake in their operations:<\/p>\n\n\n\n

    \n
  • Siemens<\/strong> highlighted ease of use and the simplification of data utilization across hundreds of teams to accelerate innovation globally. <\/li>\n\n\n\n
  • Fiserv \/ PayPal<\/strong> emphasized enabling secure and real-time data collaboration across the global payments ecosystem. <\/li>\n\n\n\n
  • AstraZeneca<\/strong> discussed secure and controlled data sharing for global research. <\/li>\n<\/ul>\n\n\n\n

    A few notable announcements were also made in Stockholm, such as:<\/p>\n\n\n\n

      \n
    • Snowflake will be available in AWS European Sovereign Cloud<\/strong>. <\/li>\n\n\n\n
    • Snowflake is now live in Microsoft Azure\u2019s Sweden Central Region<\/strong>. <\/li>\n\n\n\n
    • Snowpark Connect for Apache Spark<\/strong> allows Spark code execution directly in the Snowflake warehouse. <\/li>\n<\/ul>\n\n\n\n

      Diverse Sessions on Data, AI and Application Development<\/strong> <\/h2>\n\n\n\n

      Throughout the day, there were multiple presentations and talks across various domains, including:<\/p>\n\n\n\n

        \n
      • Technical hands-on sessions<\/li>\n\n\n\n
      • Customer and partner solution showcases<\/li>\n\n\n\n
      • Deep dives into Snowflake\u2019s capabilities<\/li>\n\n\n\n
      • Panel discussions on data-related topics<\/li>\n<\/ul>\n\n\n\n

        Although AI and its possibilities were on everyone\u2019s lips, it was great to see several sessions focusing on the practical requirements for leveraging AI effectively.<\/p>\n\n\n\n

        Below are some highlights from the sessions I personally attended:<\/p>\n\n\n\n

        Snowflake OpenFlow and AI SQL: Practical Possibilities for 2025<\/strong><\/h2>\n\n\n\n

        Snowflake OpenFlow \u2013 Data Integration Made Simple<\/strong> <\/h3>\n\n\n\n

        This session showcased OpenFlow\u2019s capabilities for data integrations. The vision behind OpenFlow is to enable loading data from all sources to all destinations.<\/p>\n\n\n\n

        Key takeaways from Snowflake OpenFlow:<\/p>\n\n\n\n

          \n
        • Multiple deployment options, including the ability to run loads in your own cloud. <\/li>\n\n\n\n
        • Extensive pre-built connectors, with the ability to define custom ones. <\/li>\n\n\n\n
        • Easy to manage and secure, featuring advanced authentication and access control. <\/li>\n\n\n\n
        • Enables Snowpipe Streaming for near real-time data streaming. <\/li>\n\n\n\n
        • Real-time pipeline monitoring and alerts. <\/li>\n<\/ul>\n\n\n\n

          AI Features for Data Utilization<\/strong> <\/h3>\n\n\n\n

          This session introduced Snowflake\u2019s AI capabilities that help organizations get more out of their data. It also highlighted partner-provided services that can easily be integrated.<\/p>\n\n\n\n

          Key takeaways from Snowflake AI features:<\/p>\n\n\n\n

            \n
          • Cortex Search<\/strong> enables fast, AI-powered text search using a hybrid keyword + vector search model, including automatic indexing and natural language queries for RAG applications. <\/li>\n\n\n\n
          • AI SQL<\/strong> allows natural language queries, automatic code completions, and ML model usage directly within SQL. <\/li>\n\n\n\n
          • Semantic Views<\/strong> enable modeling of business concepts \u2014 metrics, dimensions, and facts \u2014 directly within the database\u2019s logical layer. <\/li>\n\n\n\n
          • Cortex Analyst<\/strong> lets users query structured data in natural language without writing SQL. <\/li>\n\n\n\n
          • Snowflake Intelligence<\/strong> combines these into an agent-driven AI system for interacting with structured and unstructured data, delivering instant answers, visualizations, and actionable insights. <\/li>\n<\/ul>\n\n\n\n

            Data Management and Optimization at Snowflake World Tour 2025<\/h2>\n\n\n\n

            Data Security and the Use of Sensitive Information in Snowflake<\/strong><\/h3>\n\n\n\n

            This session explored Snowflake\u2019s capabilities for building sustainable solutions from a data sensitivity and security perspective \u2014 ensuring correct handling of data while enabling business value.<\/p>\n\n\n\n

            Key takeaways:<\/p>\n\n\n\n

              \n
            • Simple methods like omitting or aggregating data to necessary levels. <\/li>\n\n\n\n
            • Restricting access via Private Listings in the Snowflake Marketplace. <\/li>\n\n\n\n
            • Sharing only selected data through Secure Views or UDFs. <\/li>\n\n\n\n
            • Protecting personal data with Dynamic Masking, or using Projection Policies to combine data without exposing it. <\/li>\n\n\n\n
            • Multi-party\u00a0analysis\u00a0using\u00a0Data\u00a0Clean\u00a0Room,\u00a0enabling\u00a0joint\u00a0data\u00a0analysis\u00a0without\u00a0exposing\u00a0raw\u00a0data.\u00a0<\/li>\n<\/ul>\n\n\n\n

              <\/p>\n\n\n\n

              Optimizing Snowflake Usage and Costs<\/h3>\n\n\n\n

              This session covered ways to monitor and optimize Snowflake usage and costs, divided into three key areas: visibility, control, and optimization.<\/p>\n\n\n\n

              Snowflake provides built-in solutions for all these areas:<\/p>\n\n\n\n

              Visibility \u2013 Understanding Costs and Performance<\/strong><\/p>\n\n\n\n

                \n
              • Account- and organization-level cost monitoring. <\/li>\n\n\n\n
              • Detecting anomalies that increase costs unexpectedly. <\/li>\n\n\n\n
              • Real-time and historical query performance tracking. <\/li>\n\n\n\n
              • Grouping related queries (recurring, scheduled, or multi-step) to identify bottlenecks. <\/li>\n<\/ul>\n\n\n\n

                Control \u2013 Manage and Limit Consumption<\/strong> <\/p>\n\n\n\n

                  \n
                • Setting budget limits at account, resource, and tag levels. <\/li>\n\n\n\n
                • Defining resource sizes and scaling through warehouse configuration. <\/li>\n\n\n\n
                • Using auto-suspend to automatically shut down idle warehouses. <\/li>\n\n\n\n
                • Monitoring resources through resource monitors. <\/li>\n\n\n\n
                • Adaptive warehouses that self-adjust based on task requirements. <\/li>\n<\/ul>\n\n\n\n

                  Optimization \u2013 Cost and Performance Efficiency<\/strong> <\/p>\n\n\n\n

                    \n
                  • Track warehouse utilization metrics to understand capacity use. <\/li>\n\n\n\n
                  • Review pruning history for efficient micro-partition filtering. <\/li>\n\n\n\n
                  • Query insights that automatically detect performance issues and provide recommendations. <\/li>\n\n\n\n
                  • Cost insights that identify potential credit or storage savings. <\/li>\n<\/ul>\n\n\n\n

                    Why Snowflake World Tour 2025 Was Worth Attending<\/strong><\/h2>\n\n\n\n

                     Once again, the Snowflake World Tour proved to be a must-attend event \u2014 offering something for everyone and easily tailored to each attendee\u2019s interests. Whether you\u2019re a customer, partner, or considering adopting Snowflake, the event provided a comprehensive view of Snowflake and its potential. Definitely worth attending again next year.<\/p>\n\n\n\n

                    \n\n\n\n

                    Asko Ovaska<\/strong>  <\/p>\n\n\n\n

                    Partner, Senior Consultant, Etlia Oy <\/p>\n\n\n\n

                    <\/p>\n","protected":false},"excerpt":{"rendered":"

                    The Snowflake World Tour 2025 took place this year on October 14th in Stockholm, once again at the 3 Arena. The event gathered over 1,500 participants and featured 33 sessions, 57 speakers, and 11 business areas. 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