795 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.
Follow an ordered learning track with prerequisites and checkpoints →
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Latest tutorials
Page 24 of 133- 01Every 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
- 02Freshness 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
- 03The 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
- 04The 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.Data EngineeringJul 25, 2026
- 05Iceberg'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.Data EngineeringJul 25, 2026
- 06Building a Lakehouse That Stays Inside the BorderResidency is a storage location. Sovereignty is who can compel access, who operates the systems, and whether you can leave. A practical guide to sovereign lakehouse architecture in 2026.Data EngineeringJul 25, 2026