Real-time databases are integrating with data lakes to reduce storage costs and share data with AI and data science. Please join us to hear from a range of experts as they share current problems and solutions while navigating the transition from closed storage models to open table formats like Apache Iceberg.

Optimizing Apache Iceberg for interactive analysis is not just about getting the table format right. It is about keeping tables lean, well-organized, and ready to serve low latency queries as real workloads arrive. Without the right approach, small file storms from streaming and CDC, growing delete files, and unnecessary full table rewrites can slow dashboards and experiments while driving costs up.