April 2026
Beginner to intermediate
408 pages
13h 26m
English
Content preview from Architecting an Apache Iceberg Lakehouse
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10 Maintaining an Iceberg lakehouse
This chapter covers
- Identifying and resolving performance problems resulting from suboptimal data and metadata files
- Running compaction jobs to optimize file layout and improve query speed
- Managing snapshot retention to reduce the storage footprint and meet compliance needs
- Using Iceberg metadata tables to monitor table health and guide maintenance
Designing and deploying a lakehouse is only the beginning. Long-term value comes from keeping the platform performant, governed, and resilient over time. Apache Iceberg provides powerful capabilities for data organization, schema evolution, and transaction isolation, but without proactive maintenance, those strengths can erode. As datasets grow, write patterns ...
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