Data Governance For Data Mesh
summary
A playbook for mapping governance onto data mesh: use a hybrid model with central standards and domain teams owning execution, prioritize datasets by usage and popularity, assign domain-level owners and tags, and automate workflows for classification, lineage and archiving. Built examples use Select Star–style catalogs to provide search, automated lineage, popularity metrics and collaboration threads so teams find who uses what and when. Outcome: faster domain autonomy with data discovery enabling federated computational governance.
AI-written summary · about
chapters (10)
- 0:00Introduction to talk
- 1:05Modern data challenges
- 3:13Data mesh and governance
- 6:03Data mesh principles
- 9:21What is data governance
- 12:10Data management models
- 15:03Governance for data mesh
- 16:47Data Discovery explained
- 20:40Automating governance workflows
- 22:08Closing and summary
related talks
43mUntangling Data Mesh: A paradigm shift in Big Data
41mWhat is a Data Mesh - And How Not To Mesh it Up
51mData Mesh – Successful with People, Process, and Technology
31mData Mesh, Next
20mEmbracing Data Mesh: A Modern Strategy for Scalable Data Management
39mData Mesh: Why, What and How
01h 00mData Mesh: Beyond the Data Lake
38mData Mesh, Now
