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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Latest tutorials
Page 5 of 130- 01Where Lock-In WentThe format war ended and exit cost did not: where lock-in relocated after open tables won, how to measure it, and which costs are worth keeping down.Market AnalysisSep 10, 2026
- 02What a Query CostsFour meters, their real proportions, and how to attribute compute to a query, a table, and a team so a platform can answer what a dashboard costs to run.Cost OptimizationSep 10, 2026
- 03The Data Team of the Agentic Era: Generalists Owning End-to-End WorkflowsThe case for generalists owning end-to-end data workflows with agents, the counterargument, and how to make the transition work.AI & DataSep 02, 2026
- 04Data Quality Tooling Compared: Great Expectations, Soda, dbt Tests, and Anomaly DetectionA comparison of Great Expectations, Soda, dbt tests, and anomaly detection, and a layered design that uses each where it fits.Data QualitySep 02, 2026
- 05dbt on Iceberg: Incremental Models on Open TablesHow dbt incremental materializations map to Iceberg operations, and the configuration, predicates, and maintenance that keep them healthy.Data EngineeringSep 02, 2026
- 06Disaster Recovery for Iceberg Tables: Replication, Backup, and RestoreDisaster recovery for Iceberg across four tiers: snapshots, object versioning, catalog backup, and cross-region replication.Apache IcebergSep 02, 2026