Data Governance & Lineage
Catalogues, column-level lineage, retention and deletion, access control and provenance for training corpora.
5concepts
58flashcards
36minutes of reading
- 01 Catalogues, Metadata and Discovery The three kinds of metadata a catalogue holds, why the technical layer is the only one that stays accurate for free, and what makes a catalogue get used rather than abandoned.
- 02 Column-Level Lineage What lineage answers that a dependency graph cannot, why column granularity changes the questions you can ask, and the parsing problem that makes it hard to capture correctly.
- 03 Access Control for Analytical Data Why role-based access breaks down on a data platform, how attribute-based policies and dynamic masking replace it, and the derived-table hole that undermines both.
- 04 Provenance for Training Corpora Why the governance question for training data is harder than for analytical data, what a defensible provenance record contains, and the specific obligations that make it necessary.
- 05 Retention, Deletion and the Right to Erasure Why deleting a row is not deleting data, the specific places copies survive in a modern data platform, and the architectures that make erasure tractable.