766 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 73 of 128
  1. 01The Endgame – Building an Autonomous Optimization Pipeline for Apache IcebergLearn how to automate compaction, snapshot expiration, and layout optimization in Apache Iceberg using metadata-driven triggers and orchestration tools for a self-healing lakehouse.
  2. 02Managing Large-Scale Optimizations – Parallelism, Checkpointing, and Fail RecoveryLearn how to scale Apache Iceberg table optimizations across large datasets using parallelism, checkpointing, and fail recovery to ensure reliability and performance.
  3. 03Unlocking the Power of Agentic AI with Apache Iceberg and DremioUnlocking the Power of Agentic AI with Apache Iceberg and Dremio
  4. 04Hidden Pitfalls – Compaction and Partition Evolution in Apache IcebergPartition evolution in Apache Iceberg is a powerful feature, but if not managed carefully, it can introduce fragmentation and impact compaction performance. Learn how to handle it effectively.
  5. 05Using 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.
  6. 06Designing 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.