775 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. 01Mapping the Variant Type in Iceberg v3: Standardizing Semi-Structured AI JSON Payloads![Layered papercut diagram showing nested AI payloads flowing into an Iceberg table with promoted governed columns](/images/2026/week-2026-07-06/mapping-the-variant-type-in-iceberg-v3-standardizing-semi-structured-ai-json-payloads-diagram-1.png)
  2. 02The 2026-07-28 Model Context Protocol Release Candidate: What the Stateless Spec Means for Data PlatformsCross-posted. This article’s canonical home is iceberglakehouse.com. The 2026-07-28 Model Context Protocol Release Candidate: What the…
  3. 03The 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…
  4. 04Migrating 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)
  5. 05Multi-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…
  6. 06Multi-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)