A producer adds columns, but existing analytical queries should continue to work.
Write incrementally to a large S3 table while managing schema changes.
Which table format should be considered?
Use an Apache Iceberg table to manage schema evolution, snapshots, and incremental writes on S3.
Detailed explanation
CloudTrail Lake is for audit-event analysis, not arbitrary analytical table management.
CloudTrail Lake is for audit-event analysis, not arbitrary analytical table management.
Iceberg provides table metadata, schema evolution, snapshots, and transactional-style incremental processing.
Iceberg provides table metadata, schema evolution, snapshots, and transactional-style incremental processing.
A single overwritten file is difficult to update concurrently and cannot manage table snapshots safely.
A single overwritten file is difficult to update concurrently and cannot manage table snapshots safely.
ACLs control access and do not evolve a table schema.
ACLs control access and do not evolve a table schema.
Check official documentation
Compare the following points with the official documentation.
Apache Icebergのschema evolution、snapshot、AWS Glue・Athena統合の公式説明を確認する。
What to confirm
ファイル単体の管理と、テーブル形式によるスキーマ進化の違いを説明できる。
Key points
- Apache Iceberg
- Schema evolution
- Snapshot
- Incremental write
Notes
- Environment: AWS公式DEA-C01試験ガイドと各サービスの公式ドキュメントの確認
- Confirm current AWS service behavior in the official DEA-C01 documentation.
Foundation review
Schema compatibility
Column additions and type changes must be evaluated for downstream readers.
Metadata commit
Updating table metadata atomically gives readers a consistent view of incremental writes.