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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Page 9 of 125
  1. 01Can Seven Different Iceberg REST Catalogs Really Run the Same DuckDB Code?Can seven Iceberg REST catalogs run the same DuckDB script? What the protocol makes portable, what still differs, and a test matrix you can rerun.
  2. 02Stop Flattening Your JSON: How Iceberg Variant Changes Semi-Structured AnalyticsIceberg Variant stores JSON as navigable binary with shredding for columnar filters. Why flattening wide tables is no longer the only performance path.
  3. 03What 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.
  4. 04Variant 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.
  5. 05Who 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.
  6. 06Mastering 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.