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Exclusive recorded Q&A session with Serge Gershkovich — Head of Product at SqlDBM, Snowflake Superhero, and author of Data Modeling with Snowflake. Topics discussed: 1. Best practices from the 2nd Edition of Data Modeling with Snowflake 2. Modeling new Snowflake objects: Hybrid Tables, Iceberg Tables, and Dynamic Tables 3. SqlDBM and dbt integration: how modern workflows align 4. Insights into the SqlDBM product roadmap 5. Semantic modeling vs. physical modeling — and why both matter 6. Practical “recipes” for scalable, governed data platforms 7. Answers to today’s biggest questions: How should AI fit into modeling workflows? Why Watch If you’re a data architect, engineer, analyst, or CDO, this session provides clear guidance on how to adapt your data modeling practices to Snowflake’s evolving capabilities and future-proof your data strategy. About the Author Serge Gershkovich has more than a decade of enterprise data architecture experience. As a Snowflake Superhero and Head of Product at SqlDBM, he focuses on simplifying governance and enabling scalable, cloud-native data modeling. Subscribe For more on Snowflake, dbt integration, modern data modeling, and cloud data strategy, subscribe and turn on notifications. #Snowflake #DataModeling #HybridTables #IcebergTables #DynamicTables #dbt #SqlDBM #CloudData #SemanticModeling