Alex Merced • 8/19/2025

Designing the Ideal Cadence for Compaction and Snapshot Expiration

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This technical article provides a detailed guide for designing an optimal cadence for compaction and snapshot expiration in Apache Iceberg tables. It explains why scheduling matters, key factors to consider (ingestion rate, query latency, storage costs, retention needs), suggests cadence models for different use cases, and discusses automation using orchestration tools like Airflow.

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#Data Engineering #Apache Iceberg #Data Lakehouse
Designing the Ideal Cadence for Compaction and Snapshot Expiration

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