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Storage class

As explained in Architecting an Apache Iceberg Lakehouse

A storage access tier is a storage classification that associates data with an access pattern and corresponding cost and performance characteristics.

A storage class is an access tier that associates data with an access pattern and corresponding cost and performance characteristics. Tiering helps lakehouse operators balance retrieval speed, retention, and storage expense. section 5.4.4

Use warmer tiers for frequently accessed metadata and recent partitions, then move older snapshots and historical data to colder tiers through lifecycle policies. The choice affects availability, retrieval performance, and operational cost rather than changing the table’s logical organization. section 5.4.4 section 5.4.5

Common tier mappings

Google Cloud Storage provides Standard, Nearline, Coldline, and Archive. Azure Blob Storage provides Hot, Cool, and Archive. A lifecycle policy can retain active data in a warmer tier and transition older data to a lower-cost tier. section 5.4.4 section 5.4.5

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Explains tier selection and lifecycle transitions with platform examples, but stops short of detailed pricing or policy configuration.
Examples
Uses Standard, Nearline, Coldline, Archive, Hot, and Cool tiers to illustrate active-to-historical data placement.
What it assumes
Assumes familiarity with cloud object storage, data access frequency, and retention policies.
What you can do after
Configure storage classes and lifecycle transitions that align frequently accessed and historical data with cost and availability requirements.
How it connects
Connects storage classes with object storage, access patterns, lifecycle rules, retention policies, and Iceberg tables.
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