778 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. 01Turning an Analytics Question Into a Verified Agentic GraphA complete AGS 1.0 graph for governed metric questions, with verification gates, deterministic check scripts, and reconciliation against a semantic layer.
  2. 02Keeping Audit Snapshots Alive While Iceberg Snapshot Expiration Runs Every NightHow Iceberg snapshot tags keep audit snapshots alive through nightly expiration: retention calendars, RETAIN semantics, compaction cost, and erasure conflicts.
  3. 03Twelve Queries That Pass Every Schema Check and Still Return the Wrong NumberTwelve query patterns that pass schema validation and still return wrong numbers, with detectors, required metadata, and tested code for each.
  4. 04Fast 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.
  5. 05Why the Iceberg DataFusion Integration Is Moving to Apache DataFusionWhy the Iceberg DataFusion integration moved to the DataFusion project, and what the split means for users, Comet, and iceberg-rust contributors.
  6. 06What Iceberg v4's Proposed FILE Type Means for Multimodal TablesIceberg v4's proposed FILE type brings first-class media references to tables, via Parquet's FILE logical type, ranges, checksums, and pre-signed URLs.