Data Mesh
Domain ownership, data as a product, self-serve platform, and federated governance.
5 to work through
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advanced
A CDO proposes moving to a data mesh because the central data team is a bottleneck with a nine-month backlog. How do you assess the proposal?
2 min answer -
advanced
A large enterprise wants to move from a central data team to a decentralised model. What determines whether that succeeds, and what does it not fix?
1 min answer -
advanced
An interviewer says "we are going federated across about 40 domains. Which governance policies do we put in the platform as code and which stay as written guidance? Talk me through how you decide, and what the code version costs us."
3 min answer -
advanced
An organisation is considering data mesh. What problem does it actually solve, what does it require, and when is a central platform team the better answer?
2 min answer -
advanced
What must exist before decentralising data ownership makes things better rather than worse?
2 min answer
3 terms in this topic
Data Mesh in Practice
Decentralising data ownership to the domains that produce it, with a self-serve platform and federated governance — an organisational change more tha…
conceptDomain Data Ownership
Making the team that generates data accountable for publishing it fit for others to use, rather than handing raw extracts to a central team.
practiceDomain Publishing Readiness
The small set of capabilities a domain team must demonstrably have before it is allowed to publish a data product, which is what separates decentrali…
1 artifact you would hand over
Neighbouring topics
Data Governance & Semantics
General material on ownership, meaning, quality and control of data at enterprise scale.
Data Products
A dataset with an owner, an interface, an SLO, and consumers who can rely on it.
Data Contracts
Producers committing to schema, semantics and freshness, and breaking builds when they do not.
Data Catalog
Discovery, ownership and technical metadata, and why catalogues go stale.
Business Glossary
Agreeing what a term means before arguing about which number is right.
Semantic Layer
Metric definitions held once and served to every tool that asks.
Master Data Management
One authoritative record for a customer or product across systems that each have their own.
Reference Data
Code lists, hierarchies and currencies — small, shared, and quietly load-bearing.
Data Quality Dimensions
Completeness, accuracy, timeliness, consistency, validity and uniqueness as testable claims.
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.
Data Access Models
Role, attribute and purpose-based access over analytical data, and how they compose.
Row & Column-Level Security
Restricting slices of a table rather than the whole table, and where it is enforced.
Tokenisation & Masking
Dynamic masking, deterministic tokens, and preserving joinability without exposure.
Retention & Purge
Deleting from an append-only estate, and proving the deletion happened.
Data Sharing & Clean Rooms
Collaborating on data neither party may hand over, with computation as the interface.
Sensitivity Labelling
Propagating a classification through joins and derived tables so controls follow the data.
BI Governance
Dashboard sprawl, certified reports, and the number the board is allowed to see.
Self-Service vs Governed
Letting analysts move fast without four teams reporting four different revenues.