795 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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Page 14 of 133
  1. 01What Actually Happens When Two Engines Write the Same Iceberg Table at Once?What happens when two engines write the same Iceberg table at once: snapshot isolation, optimistic commits, conflict detection, and when retries fail.
  2. 02Variant Shredding Explained: How Iceberg Gets Columnar Performance From Messy JSONVariant shredding turns messy JSON into Parquet columns with statistics. How the layout works, how readers reassemble values, and why some queries prune.
  3. 03Who Actually Owns an Iceberg Table? Managed, External, and the New Vocabulary of Lakehouse ControlManaged and external Iceberg tables mean different things on every platform. Five ownership dimensions and a translation method for vendor vocabulary.
  4. 04Iceberg Row Lineage: The Feature AI and CDC Workloads Will Eventually Depend OnIceberg row lineage gives rows a durable identity across rewrites. Why CDC pipelines and AI workloads will eventually depend on it.
  5. 05Mastering Apache Iceberg v3 Deletion Vectors for High-Throughput Streaming IngestApache Iceberg v3 deletion vectors for high-throughput streaming ingest: how bitmaps and Puffin files fix CDC write amplification and read decay.
  6. 06The Decoupled Data Lakehouse: Multi-Engine Freedom with Open REST CatalogsThe decoupled data lakehouse: multi-engine freedom with open REST catalogs, credential vending, and an estate that outlives its tools.