Alex Merced Tutorialshandbook

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. 01Reading the Apache Iceberg V4 Proposals Before They LandA field guide to the Apache Iceberg V4 proposals: adaptive metadata trees, single-file commits, typed statistics, column families, and what is safe to build on today.Apache IcebergAug 04, 2026
  2. 02How Iceberg V3 Variant Shredding Changed Semi-Structured Data on S3 TablesHow Iceberg V3's Variant type and Parquet shredding turn JSON columns into prunable typed columns, with real benchmark tradeoffs and a migration path.Apache IcebergAug 04, 2026
  3. 03Building an Honest TCO Model for Open Lakehouses and Proprietary WarehousesAn honest TCO framework for open lakehouses versus proprietary warehouses: five cost categories, measured numbers, sensitivity analysis, and where each side still wins.Data LakehouseAug 04, 2026
  4. 04Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context ProtocolWhy agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable definitions, and Apache Polaris for enforcement.AI & AgentsAug 04, 2026
  5. 05Moving From Supply Chain Dashboards to Decision Loops With the Model Context ProtocolMoving from supply chain dashboards to decision loops with MCP: sense, decide, act, and verify, with typed action tools, idempotency keys, and graduated human approval.AI & AgentsAug 04, 2026
  6. 06Metric Contracts as the Interface AI Agents Actually NeedMetric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing metrics in CI.AI & AgentsAug 04, 2026