liveBook · Manning

Lifecycle policy

As explained in Architecting an Apache Iceberg Lakehouse

Data lifecycle management is the policy-based control of data placement, retention, deletion, archival, and tiering throughout its lifecycle.

A lifecycle policy controls where data resides, how long it remains available, when it is archived or deleted, and how it moves between storage tiers. In an Iceberg lakehouse, these rules align storage decisions with retention obligations, access patterns, governance requirements, and cost targets. section 5.4.8 section 5.2.2

Effective policies commonly define:

  • Placement rules that select storage locations or tiers using metadata, access patterns, or organizational requirements. section 5.4.8
  • Retention and deletion rules that preserve required data or remove objects after a specified period. section 5.4.8 section 5.2.2
  • Tiering and archival actions that reduce storage expense while maintaining required availability and consistency. section 5.4.8 section 5.5.4
  • Audit and compliance controls covering both stored data and catalog metadata, including retention and deletion of metadata. section 5.3.2 section 7.2.3

Snapshot-aware tiering

An Iceberg deployment can assign different retention or storage requirements to dataset snapshots, while object-storage rules automatically archive or delete objects to control cost without disrupting availability or consistency. section 5.4.8

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Explains policy dimensions and operational rationale, but stops short of vendor-specific rule syntax or implementation commands.
Examples
Uses StorageGRID, Amazon S3, Google Cloud Storage, Ceph, MinIO, storage classes, and Iceberg snapshot retention as examples.
What it assumes
Assumes familiarity with object storage and Iceberg snapshots while defining lifecycle controls through concrete storage and compliance concerns.
What you can do after
Operate/configure lifecycle rules that automate tiering, archival, deletion, retention, and governance across lakehouse storage.
How it connects
Connects object storage, Apache Iceberg snapshots, S3 API governance, data retention, archival, tiering, and catalog metadata.

Also explained in

Compare how 3 books explain lifecycle policy →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.