Why running a separate data lake and data warehouse causes problems, what a data lakehouse is, the open technologies behind it, and its main benefits.
How Apache Iceberg tables, the Apache Arrow memory format, and the Apache Polaris catalog each solve a lakehouse problem and work together across engines.
How Dremio fits a modern lakehouse: Iceberg clustering for data layout, Autonomous Reflections for speed, Polaris-based governance, and AI-ready data.
Sampling and Prompts in MCP : Making Agent Workflows Smarter and Safer
