749 tutorials · free to read

A working handbook for data and software engineering.

Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.

Browse by topic

All topics

Latest tutorials

Page 29 of 125
  1. 01The Metric Contract Mandate: Standardizing Semantic Layers Before AI Agent AccessCross-posted. This article’s canonical home is iceberglakehouse.com. The Metric Contract Mandate: Standardizing Semantic Layers Before AI…
  2. 02Migrating Proprietary Warehouses to Open Lakehouses: The 2026 Playbook for Zero-Copy Metadata Translation![Papercut staged migration from proprietary warehouse through metadata translation to open Iceberg lakehouse](/images/2026/week-2026-07-06/migrating-proprietary-warehouses-to-open-lakehouses-the-2026-playbook-for-zero-copy-metadata-translation-diagram-1.png)
  3. 03Multi-Engine Catalog Federation with Apache Polaris: Syncing Google Cloud, AWS, and Azure MetadataCross-posted. This article’s canonical home is iceberglakehouse.com. Multi-Engine Catalog Federation with Apache Polaris: Syncing Google…
  4. 04Multi-Engine Catalog Federation with Apache Polaris: Syncing Google Cloud, AWS, and Azure Metadata![Papercut architecture showing a central open catalog hub connected to multicloud lakehouse zones and engines](/images/2026/week-2026-07-06/multi-engine-catalog-federation-with-apache-polaris-syncing-google-cloud-aws-and-azure-metadata-diagram-1.png)
  5. 05Open Source Foundations, Explained: What Apache, Linux, Eclipse, and Their Peers Actually Do, and Why Governance Differences MatterCross-posted. This article’s canonical home is iceberglakehouse.com. Open Source Foundations, Explained: What Apache, Linux, Eclipse, and…
  6. 06Operational vs. Analytical Systems: Why the Oldest Divide in Data Exists, What Physics Enforces It, and the Honest Truth About Hybrid SystemsCross-posted. This article’s canonical home is iceberglakehouse.com. Operational vs. Analytical Systems: Why the Oldest Divide in Data…