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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Latest tutorials
Page 1 of 125- 01The 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
- 02Data 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
- 03dbt 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
- 04Disaster 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
- 05Deleting User Data From an Immutable Lakehouse: GDPR Hard Deletes on IcebergHow to turn a logical delete on immutable Iceberg into a physical erasure across snapshots, versions, replicas, and downstream copies.Data GovernanceSep 02, 2026
- 06Default Column Values and Field IDs: How Iceberg Schema Evolution Works at the Spec LevelHow field IDs and initial and write defaults let Iceberg change schemas on large tables without rewriting data, at the spec level.Apache IcebergSep 02, 2026