Explores how open standards like Iceberg and REST catalogs prevent data silos for AI agents in lakehouse architectures.
Explains credential vending for Iceberg REST catalogs, replacing static cloud keys with short-lived, scoped storage credentials for secure multi-engine lakehouses.
Analysis of Apache Iceberg REST Catalog V2 design addressing protocol debt, scaling challenges, and multi-engine optimization for modern data workloads.
Analysis of REST Catalog V2 LoadTable and client capability negotiation for lakehouse platforms.
Explains Iceberg remote signing for regulated datasets, enhancing security by issuing per-file, one-time-use pre-signed URLs instead of storage credentials.
Explores using DuckDB and Polars to query and write to Iceberg tables, covering new features, workflows, and practical patterns.
Explores two paths for building a universal lakehouse catalog that extends beyond Apache Iceberg tables to manage diverse data formats and sources.
A look at 10 upcoming features and enhancements for the Apache Iceberg data lakehouse table format, expected in 2025.
Explains the purpose and limitations of the Apache Iceberg REST Catalog specification for standardizing table operations.
