696 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 62 of 116
  1. 01Using Iceberg Metadata Tables to Determine When Compaction Is NeededDiscover how to use Apache Iceberg's metadata tables to proactively detect small files, bloated manifests, and table fragmentation - so you can trigger compaction only when it's needed.
  2. 02Designing the Ideal Cadence for Compaction and Snapshot ExpirationLearn how to design an effective schedule for compaction and snapshot expiration in Apache Iceberg to balance cost, performance, and data freshness.
  3. 03Avoiding Metadata Bloat with Snapshot Expiration and Rewriting ManifestsLearn how to prevent and clean up metadata bloat in Apache Iceberg by expiring snapshots and rewriting manifests for better performance and manageability.
  4. 04Smarter Data Layout – Sorting and Clustering Iceberg TablesImprove query performance in Apache Iceberg by organizing your data layout with sorting and Z-order clustering. Learn how to reduce scan cost and improve filter effectiveness.
  5. 05Optimizing Compaction for Streaming Workloads in Apache IcebergLearn how to design fast, incremental compaction strategies in Apache Iceberg to support high-throughput streaming pipelines without disrupting freshness or performance.
  6. 06The Basics of Compaction – Bin Packing Your Data for EfficiencyLearn how standard compaction works in Apache Iceberg and why bin packing your data files is essential for maintaining query performance and cost efficiency.