Why open Iceberg tables need an open catalog, and how Apache Polaris implements the REST catalog with delegated RBAC across Spark, Flink, Trino, and Dremio.
How Dremio Reflections, Autonomous Reflections, and automatic Iceberg table optimization replace cron-based maintenance, and how to measure savings honestly.
Why enterprise AI agent pilots stall between demo and production, and how a knowledge layer, readiness metrics, and lakehouse architecture help close that gap.
Why AI agents expose data silos, and how Iceberg tables, REST catalogs, and federated query across object stores give agents one governed path to company data.
