Table formats like Apache Iceberg solved the ACID, schema, and performance problems that turned data lakes into data swamps. Here is how each one works.
Every database is a collection of engineering tradeoffs. Learn the 9 design decisions that shape how query engines store, index, and process your data.
Why LLMs fail on raw Parquet in S3, and how a semantic layer, autonomous reflections, text-to-SQL, and AI SQL functions enable agentic analytics on a lakehouse.
Apache Arrow removes the serialization tax with a standard in-memory columnar format, zero-copy sharing, and Arrow Flight for fast transfer across the network.
