681 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. 01Surviving Optimistic Commit Collisions When Hundreds of Agents Write to IcebergSurviving optimistic commit collisions when hundreds of agents write to Iceberg: which conflicts are real, commit buffers, partitioning, and the patterns that prevent commit storms.
  2. 02How Iceberg V3 Deletion Vectors Fixed Merge-on-Read for Streaming TablesHow Iceberg V3 deletion vectors replaced accumulating positional delete files and made merge-on-read viable for streaming and CDC tables.
  3. 03Reading 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.
  4. 04How 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.
  5. 05Building 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.
  6. 06Why 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.