REST Catalog V2 LoadTable and Client Capability
REST Catalog V2 LoadTable work matters because clients and catalogs need explicit contracts, not optimistic assumptions.
The archive
Writing, page 24
652 posts on Apache Iceberg, lakehouse architecture, data engineering and applied AI.
Rust vs C++ in Native Iceberg Scan Operators
The Rust versus C++ discussion is really about table-layer execution safety, interoperability, and performance envelopes.
Server-Side Commit Deconflicting in REST Catalogs
Server-side commit deconflicting is about moving concurrency control closer to the catalog contract.
Snowflake Interoperable Lakehouse Lessons
Interoperable lakehouse announcements matter when they change production contracts, not just import and export narratives.
Unity AI Gateway vs Apache Polaris Control Planes
The right comparison is not vendor scoreboard. It is closed AI governance gateway versus open catalog control plane.
The Complete Guide to Agentic Coding Tools in 2026
Compare Codex, Claude Code, OpenCode, Gemini CLI, and GitHub Copilot CLI by workflow, model choice, governance, and cost controls.
Agentic Lakehouse Concurrency and Isolation
How Iceberg optimistic concurrency control, partition-level isolation, and idempotency keys enable safe concurrent writes from multiple AI agents.
Anatomy of an Agentic Lakehouse
The four-layer architecture of the agentic lakehouse: object storage, Apache Iceberg table format, Apache Polaris catalog, and the semantic/agent layer.
Apache Iceberg v4 Roadmap: Adaptive Metadata Trees, Single-File Commits, and the Delta Convergence
A deep technical breakdown of Apache Iceberg v4's proposed architecture: adaptive metadata trees, one-file commits, relative paths, column families.
Lakehouse Context Layers with Atlan and Iceberg v3
Lakehouse context layers bridge the gap between raw Iceberg tables and AI agents that need business meaning.