A five-layer pattern for trusted agentic analytics (data, knowledge, agents, tools, policy), how one request moves through it, and a checklist for your stack.
Why federal open data needs agent-ready interfaces, what MCP adds over legacy APIs, the GSA hackathon as a signal, and a blueprint for a read-only SQL MCP tool.
How regulated firms keep data on-prem in Iceberg tables on private object storage while sharing approved metadata via Nessie or Polaris and read-only gateways.
Copy-on-write versus merge-on-read in Iceberg, how v3 deletion vectors track row-level deletes, what readers pay, and compaction patterns for high-churn tables.
