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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  1. 01Context Engineering for Data AgentsWhy text-to-SQL accuracy collapses on enterprise schemas, the five kinds of context an agent needs, where each one hides, and how to make the semantics legible.
  2. 02Migrating Into Iceberg Without Moving Dataadd_files, snapshot, and migrate compared: the three in-place paths into Iceberg, the reconciliation each requires, the layout traps, and the rollback story.
  3. 03Guardrails for AI on Company DataThe control surfaces that actually contain damage once an agent is fooled: identity, permissions, audit trails, and prompt injection at the query layer.
  4. 04What Iceberg Table Maintenance Actually CostsA cost model for compaction, snapshot expiry, orphan cleanup, and manifest rewriting: what each operation spends, on which meter, and how to set a schedule.
  5. 05Partition Statistics Files in Apache IcebergThe underused Iceberg metadata for planning: what the partition statistics file holds, what the spec guarantees, how to write one, and when it earns its slot.
  6. 06Running an Iceberg Lakehouse on KubernetesCatalog, maintenance, and compaction as Kubernetes workloads: scheduling classes, job structure, credential flow, and the failures that come from the interaction.