Posts
All the articles I've posted.
- 31 MIN READ•Jul 28, 2026
Surviving Commit Conflicts When Dozens of Writers Hit the Same Iceberg Table
Commit 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.
Apache IcebergConcurrencyData Engineering - 31 MIN READ•Jul 28, 2026
The Jackson 3 Problem in Apache Iceberg, and What It Means for Your Code
Jackson 3 changes everything: package names, unchecked exceptions, flipped defaults. Here's what breaks, why the engines are fine and your service isn't, and how to migrate safely.
Apache IcebergJacksonJava - 31 MIN READ•Jul 28, 2026
Wiring an AI Agent to Apache Polaris with the Model Context Protocol
The 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.
Apache IcebergMCPAI Agents - 31 MIN READ•Jul 28, 2026
Governing Iceberg Tables Across Regions Without Three Sets of Permissions
Catalog federation gives you one authorization model and one audit point across regions. Here's what it solves, what it doesn't, and how to build a topology you can actually govern.
Apache IcebergApache PolarisData Governance - 31 MIN READ•Jul 28, 2026
Federating Oracle With an Open Lakehouse Instead of Migrating It
Federate first so analytics work now, migrate what benefits from migrating, and leave the rest where it is indefinitely. Here's how pushdown and view layers make it work.
Apache IcebergOracleData Federation - 31 MIN READ•Jul 28, 2026
The Parquet Versioning Problem, and Why Iceberg Cares About It
Parquet files have a version field that doesn't reliably signal feature requirements. A new versioning discipline is coming, borrowing from Iceberg's format version model.
ParquetApache IcebergData Engineering - 31 MIN READ•Jul 28, 2026
Building Iceberg Pipelines in Python Without Standing Up Spark
A large share of production transformations fit comfortably on one machine. PyIceberg, DuckDB, and branch isolation give you a production path that debugs in an IDE.
Apache IcebergPythonPyIceberg - 31 MIN READ•Jul 25, 2026
Governing What Agents Cost You
Agents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation for agent workloads.
AI agentscost governancedata platform - 31 MIN READ•Jul 25, 2026
Every AI Model Family That Matters in Mid-2026
A full survey of the AI model landscape in mid-2026: frontier families, open-weight labs, local inference, specialists, and how to build a routing layer instead of a dependency.
AI modelsLLMopen weights - 31 MIN READ•Jul 25, 2026
Freshness Is a Contract, Not a Note on a Dashboard
Data freshness needs to become an engineering contract with a measurable value, an owner, and consequences. How to decompose lag, make freshness queryable, and keep agents honest.
data freshnessdata qualityapache iceberg - 31 MIN READ•Jul 25, 2026
The Apache Iceberg Market in the Middle of 2026
A survey of the Apache Iceberg market in July 2026: the state of the specification, platform support, the acquisition wave, the catalog contest, and how to evaluate real Iceberg support.
apache iceberglakehousedata engineering - 31 MIN READ•Jul 25, 2026
The Whole Lakehouse Fits on Your Laptop Now
Consumer hardware, columnar formats, single-node engines, and the Iceberg REST catalog crossed a threshold: a large share of cluster work now runs locally against the same governed tables.
duckdbapache icebergdatafusion