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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All topics- Data Lakehouse201
- Apache Iceberg183
- Data Engineering180
- Dremio65
- AI Agents58
- developer tools35
- AI coding tools31
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- MCP29
- Databases28
- AI26
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Latest tutorials
Page 19 of 125- 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.AI & AgentsJul 25, 2026
- 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.AI & AgentsJul 25, 2026
- 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.Data EngineeringJul 25, 2026
- 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.Data EngineeringJul 25, 2026
- 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.Data EngineeringJul 25, 2026
- 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.Data EngineeringJul 25, 2026