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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Page 19 of 114
  1. 01Personal Context vs. Shared Context: A Deep Dive Into How Humans and Organizations Should Feed Their AI AgentsCross-posted. This article’s canonical home is iceberglakehouse.com. Personal Context vs. Shared Context: A Deep Dive Into How Humans and…
  2. 02Preparing Your Data Lakehouse for the EU AI Act: Auditable Lineage and Data Provenance![Layered papercut provenance chain from source systems through Iceberg tables to AI tools](/images/2026/week-2026-07-06/preparing-your-data-lakehouse-for-the-eu-ai-act-auditable-lineage-and-data-provenance-diagram-1.png)
  3. 03Designing Private, Air-Gapped Data Lakehouses: Scaling Iceberg in Highly Secure, On-Premises CloudsCross-posted. This article’s canonical home is iceberglakehouse.com. Designing Private, Air-Gapped Data Lakehouses: Scaling Iceberg in…
  4. 04Migrating Proprietary Warehouses to Open Lakehouses: The 2026 Playbook for Zero-Copy Metadata TranslationCross-posted. This article’s canonical home is iceberglakehouse.com. Migrating Proprietary Warehouses to Open Lakehouses: The 2026 Playbook…
  5. 05The State of Agentic AI Standards in 2026: MCP, A2A, WebMCP, OSI, and the Protocol Stack Taking ShapeThe agentic AI protocol stack is solidifying in 2026 — MCP for tools, A2A for agents, WebMCP for the web, OSI for semantics, payments, identity, and security.
  6. 06The State of Apache Parquet in 2026: The Quiet Format Enters Its Loudest DecadeApache Parquet in 2026 — variant types, geospatial, ALP encoding, footer redesign, the versioning debate, and how the decade-old format is renovating for AI workloads.