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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Page 23 of 130
  1. 01The Parquet Versioning Problem, and Why Iceberg Cares About ItParquet files have a version field that doesn't reliably signal feature requirements. A new versioning discipline is coming, borrowing from Iceberg's format version model.Apache IcebergJul 28, 2026
  2. 02Building Iceberg Pipelines in Python Without Standing Up SparkA large share of production transformations fit comfortably on one machine. PyIceberg, DuckDB, and branch isolation give you a production path that debugs in an IDE.Apache IcebergJul 28, 2026
  3. 03Governing What Agents Cost YouAgents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation for agent workloads.AI & AgentsJul 25, 2026
  4. 04Every AI Model Family That Matters in Mid-2026A full survey of the AI model landscape in mid-2026: frontier families, open-weight labs, local inference, specialists, and how to build a routing layer instead of a dependency.AI & AgentsJul 25, 2026
  5. 05Freshness Is a Contract, Not a Note on a DashboardData freshness needs to become an engineering contract with a measurable value, an owner, and consequences. How to decompose lag, make freshness queryable, and keep agents honest.Data EngineeringJul 25, 2026
  6. 06The Apache Iceberg Market in the Middle of 2026A survey of the Apache Iceberg market in July 2026: the state of the specification, platform support, the acquisition wave, the catalog contest, and how to evaluate real Iceberg support.Data EngineeringJul 25, 2026