Session

How Apache Iceberg is used for Query Acceleration through Dremio’s Reflections

Join us for an insightful exploration into the powerful synergy between Dremio's Reflections and Apache Iceberg, revolutionizing query acceleration in modern data analytics. Reflections, a cutting-edge feature of Dremio, eliminates the complexities of traditional materialized views, BI extracts, and cubes, while seamlessly integrating with Iceberg's robust table format. This talk delves into how Reflections dynamically create materialized datasets from diverse data lake sources, leveraging Iceberg's features like partition transforms for optimal acceleration. We'll discuss the customization options available, showcasing real-world examples of how this integration significantly enhances query performance and simplifies data processing workflows. Don't miss this opportunity to discover how Reflections and Iceberg collaborate to reshape the landscape of data query acceleration.

Alex Merced

Developer Advocate for Dremio

Orlando, Florida, United States

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