Data Governance & Semantics

Who owns data, what it means, whether it can be trusted, and who may see it.

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The syllabus

20 topics in this area.

Each topic is the unit content is filed against. Topics with nothing in them yet are shown too — they are the honest edge of the curriculum rather than a gap being hidden.

Data Governance & Semantics

General material on ownership, meaning, quality and control of data at enterprise scale.

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Data Mesh

Domain ownership, data as a product, self-serve platform, and federated governance.

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Data Products

A dataset with an owner, an interface, an SLO, and consumers who can rely on it.

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Data Contracts

Producers committing to schema, semantics and freshness, and breaking builds when they do not.

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Data Catalog

Discovery, ownership and technical metadata, and why catalogues go stale.

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Business Glossary

Agreeing what a term means before arguing about which number is right.

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Semantic Layer

Metric definitions held once and served to every tool that asks.

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Master Data Management

One authoritative record for a customer or product across systems that each have their own.

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Reference Data

Code lists, hierarchies and currencies — small, shared, and quietly load-bearing.

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Data Quality Dimensions

Completeness, accuracy, timeliness, consistency, validity and uniqueness as testable claims.

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Data Observability

Freshness, volume, schema and distribution monitoring for pipelines that fail silently.

Data Stewardship

The operating model that makes ownership a role rather than a slide.

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Data Access Models

Role, attribute and purpose-based access over analytical data, and how they compose.

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Row & Column-Level Security

Restricting slices of a table rather than the whole table, and where it is enforced.

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Tokenisation & Masking

Dynamic masking, deterministic tokens, and preserving joinability without exposure.

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Retention & Purge

Deleting from an append-only estate, and proving the deletion happened.

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Data Sharing & Clean Rooms

Collaborating on data neither party may hand over, with computation as the interface.

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Sensitivity Labelling

Propagating a classification through joins and derived tables so controls follow the data.

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BI Governance

Dashboard sprawl, certified reports, and the number the board is allowed to see.

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Self-Service vs Governed

Letting analysts move fast without four teams reporting four different revenues.

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