How Arrow Flight, Flight SQL, and ADBC move query results as columnar data instead of rows, removing the driver bottleneck between databases and applications.
Budgeting for agentic analytics when every question costs something different: token economics, query economics, instrumentation, and the cost controls.
The five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity.
Autonomous table optimization when query workloads stop being predictable: observing file layout and query patterns, scoring compaction work, adaptive.
