Want to make your Apache Iceberg tables blazingly fast ? Join me for an in-depth session packed with practical strategies to fine-tune your data lake for top-tier performance and scalability. We’ll walk through critical table maintenance procedures—such as metadata optimization, handling the small-file problem through smart compaction, and visualizing bottle necks in our table —alongside battle-tested best practices for both streaming and batch processing workloads.
We’ll also dive into a key question many teams overlook: Does the catalog layer matter? Spoiler: it does. The choice between catalogs can have real implications on write/read performance, and multi-engine compatibility.
Plus, discover how Puffin files are reshaping how metadata is stored and queried, unlocking new ways to accelerate your analytical workloads. Expect actionable insights, compelling benchmarks, and real-world takeaways to help you lower latency, reduce I/O, and keep compute costs in check.