749 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 125
  1. 01Governing 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.
  2. 02Every 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.
  3. 03Freshness 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.
  4. 04The 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.
  5. 05The Whole Lakehouse Fits on Your Laptop NowConsumer hardware, columnar formats, single-node engines, and the Iceberg REST catalog crossed a threshold: a large share of cluster work now runs locally against the same governed tables.
  6. 06Iceberg's Next Version Depends on Decisions Being Made in ParquetThe Iceberg and Parquet specifications are co-evolving. Several of the most consequential Iceberg v4 proposals are waiting on Parquet work, and practitioners should read both dev lists.