682 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.

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  1. 01The Metric Contract Mandate: Standardizing Semantic Layers Before AI Agent Access![Papercut metric contract diagram with central metric and surrounding governance attributes](/images/2026/week-2026-07-06/the-metric-contract-mandate-standardizing-semantic-layers-before-ai-agent-access-diagram-1.png)
  2. 02Trustworthy Concurrency in the Agentic Lakehouse: Reconciling Academic Proofs with High-Frequency Production WritesCross-posted. This article’s canonical home is iceberglakehouse.com. Trustworthy Concurrency in the Agentic Lakehouse: Reconciling Academic…
  3. 03Trustworthy Concurrency in the Agentic Lakehouse: Reconciling Academic Proofs with High-Frequency Production WritesThat distinction matters. The agentic lakehouse is not only a table-format problem. It is an orchestration problem, a governance problem, and an observability problem.
  4. 04When Gatekeepers Panic: The Encyclopédie, Open AI Models, and the Politics of Accessible KnowledgeThe fight over open AI models mirrors the 18th-century suppression of Diderot's Encyclopédie, revealing the same pattern of institutional fear of accessible knowledge.
  5. 05The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be TrustedCross-posted. This article’s canonical home is iceberglakehouse.com. The Who, What, and Why of Semantic Layers: The Layer That Decides…
  6. 06AI-Ready Metadata Prevents Query FailuresAI-ready metadata reduces query failures by making ownership, freshness, lineage, quality, and policy visible at execution time.