Snapshot isolation lets transactions or queries read a consistent data version while concurrent changes remain outside that view. In Iceberg-based ingestion, it supports reliable low-latency pipelines alongside schema evolution and open-format portability. section 6.6
Table snapshots preserve historical views and support rollback, reproducible reruns, and retention management. Table-level references do not isolate an entire namespace or multitable workflow; catalog-level branching, such as Nessie, extends isolation across tables. section 9.5.5 section 11.2.2
Government reporting and public data
An agency can preserve historical reporting views while public dashboards use controlled extracts and internal queries remain governed and auditable. Snapshot isolation helps researchers rerun analyses against consistent data versions. section 9.5.5
SELECT ref_name, type, snapshot_id, max_reference_age_in_ms FROM "db "."critical_fact_table.refs ";
Inspect table branches and tags with the refs query, then identify the snapshot versions available for isolated reads and reruns. section 11.2.2

