# Data Iceberg Branches Tags and Write-Audit-Publish
Status: public
Confidence: medium (0.685) (verified)
Last verified: 2026-06-03
Generation: ai_structured


## TL;DR

Iceberg branches, tags, and write-audit-publish workflows let data agents validate table changes before exposing them to mainline readers.

## Core Explanation

Lakehouse tables are not just files. Iceberg tracks snapshots, references, and metadata, so a data pipeline can stage changes on a branch, validate them, then publish when checks pass. Tags can preserve named snapshot references for reproducibility or rollback windows.

Agents should inspect snapshot IDs, branch or tag names, catalog support, validation query results, retention policy, and downstream reader behavior before recommending a publish, rollback, or snapshot expiration.

## Source-Mapped Facts

- Apache Iceberg documentation says branches and tags are named references to snapshots. ([source](https://iceberg.apache.org/docs/latest/branching/))
- Apache Iceberg documentation says write-audit-publish uses branches to stage work for validation before publishing to the main branch. ([source](https://iceberg.apache.org/docs/latest/branching/))
- Apache Iceberg Spark query documentation describes time travel queries using VERSION AS OF and TIMESTAMP AS OF. ([source](https://iceberg.apache.org/docs/latest/spark-queries/#time-travel))

## Further Reading

- [Apache Iceberg Branching and Tagging](https://iceberg.apache.org/docs/latest/branching/)
- [Apache Iceberg Spark Time Travel Queries](https://iceberg.apache.org/docs/latest/spark-queries/#time-travel)