Articles on Semantic Layers and the Lakehouse

Designing Batch Pipelines That Write Well Into Apache Iceberg

Apache Iceberg Support Across the Major Hyperscalers

Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy

When the Query Optimizer Starts Managing Its Own Materializations

Building Agent Telemetry Tables in Iceberg That Survive an Audit

Why AI Agents Fail on Raw Data, and What to Give Them Instead

Why Iceberg V4 Wants to Retire Equality Deletes, and What Streaming Teams Should Do About It

Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table

The Parquet Versioning Problem, and Why Iceberg Cares About It

Wiring an AI Agent to Apache Polaris with the Model Context Protocol

Guardrails for Analytics Agents That Do More Than Answer Questions

Running an Apache Iceberg Lakehouse With No Internet Connection

What Agentic Analytics Actually Costs, and How to Keep It Bounded

Apache Fluss and Kafka Solve Different Problems in an Iceberg Pipeline

The Jackson 3 Problem in Apache Iceberg, and What It Means for Your Code

Governing Iceberg Tables Across Regions Without Three Sets of Permissions

The Five Layers Between Your Lakehouse and a Trustworthy Agent

Serving Sub-Second Queries Over an Iceberg Lakehouse With a Hot Tier

Federating Oracle With an Open Lakehouse Instead of Migrating It