767 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. 01Fast Classification Models, LLMs, and the Apache Iceberg LakehouseHow fast classification models like Jev alongside open alternatives such as GLiClass compare with LLMs, and how to run both together inside an Apache Iceberg lakehouse.
  2. 02Agentic Data ArchitectureA six-layer reference architecture for agents on company data: planners, tool boundaries, identity, the semantic layer, and what breaks when a layer is missing.
  3. 03Running Apache Polaris in ProductionApache Polaris past the quickstart: persistence backends, realm bootstrap, replica token signing, upgrades, backups, and which failures take the lakehouse offline.
  4. 04What the 2026 Consolidation Means for Open FormatsTabular, Dremio, and a wave of data platform acquisitions: what changes for teams building on open formats and which guarantees survive a change of ownership.
  5. 05Context 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.
  6. 06Migrating 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.