LakeOps Blog
Insights, tutorials, and best practices for data lakehouse architecture and optimization
Incremental Processing with Apache Iceberg & Spark: A Comprehensive Guide
Learn how to implement efficient incremental processing with Apache Iceberg and Spark, including best practices for data lake optimization and performance tuning.
Delta Lake vs Apache Iceberg: Choosing the Right Table Format
A detailed comparison between Delta Lake and Apache Iceberg, exploring their architectures, performance characteristics, and ideal use cases to help you make the right choice.
Cracking the Ice: The Battle Between Sort and Binpack in Apache Iceberg
Unlocking performance vs. optimizing storage — choosing the right compaction strategy for your data lake.
Why Every Data Lake Needs a Control Plane: Lessons from Apache Iceberg
Apache Iceberg delivers speed, but without a control plane snapshots pile up, costs surge, query take more time — starting with expiration.
From 350TB to 230TB in 10 Minutes: The Hidden Weight of Stale Data
See how a 350TB data lake shrank to 230TB in 10 minutes by removing stale data—saving 34% in AWS S3 costs and proving the need for a control plane.