Building Agent Telemetry Tables in Iceberg That Survive an Audit
July 28, 2026A practical guide to building agent decision traces in Apache Iceberg that support audit reconstruction, governance review, and cost attribution across sessions.
Written by Alex Merced Developer from devNursery.com and alexmercedcoder.dev You should follow him on Twitter and checkout his articles on LogRocket.
When the Query Optimizer Starts Managing Its Own Materializations
July 28, 2026Autonomous materialized view management replaces quarterly review meetings with workload-driven scoring, and it's essential when AI agents generate unpredictable query patterns.
Why AI Agents Fail on Raw Data, and What to Give Them Instead
July 28, 2026Agents fail on raw lake data because business rules live in people's heads. Data products with semantic contracts fix this at the source.
Why Iceberg V4 Wants to Retire Equality Deletes, and What Streaming Teams Should Do About It
July 28, 2026Equality deletes made streaming upserts into Iceberg practical at the cost of read performance. V4 proposes retiring them in favor of deletion vectors with an async conversion path.
Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table
July 28, 2026Commit conflicts multiply with writer count, and AI agents introduce unpredictable write patterns. Here's how to diagnose, tune, and architect around Iceberg's optimistic concurrency.
Wiring an AI Agent to Apache Polaris with the Model Context Protocol
July 28, 2026The catalog is the right attachment point for AI agents working against a lakehouse. Here's how to wire the official Polaris MCP Server and add the read path it deliberately leaves out.