In this session we present TPC-DS benchmarking results on Iceberg tables with varying sizes of Parquet files, to help you optimize your lake house. We also show how we generate the files and analyzed the results.

Learn how Trade Republic builds its analytical data stack as a modern, real-time Lakehouse with ACID guarantees. Using Debezium for change data capture, we stream database changes and events into our data lake. We leverage Apache Iceberg to ensure interoperability across our analytics platform, powering operational reporting, data science, and executive dashboards.

Rethink how you build open, connected, and governed data lakehouses: integrate any Iceberg REST compatible catalog to Snowflake to securely read from and write to any Iceberg table with Catalog Linked Databases. Unlock insights and AI from semi-structured data with support for VARIANT data types. And enjoy enterprise-grade security with Snowflake's managed service for Apache Polaris™, Snowflake Open Catalog.

Apache Iceberg provides an open storage standard that can democratize your data stored in disparate data lakes by providing freedom and interoperability to use various data processing engines. Join this session to explore Snowflake’s latest advancements for data engineering on Snowflake Iceberg Tables. We’ll dive into newly launched features that enhance interoperability as well as bring Snowflake’s ease of use to your Iceberg data lakes.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover Real-Time RAG AI Agents that integrate Snowflake's trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock Real-Time Actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools.