Data Fabric or Data Mesh - Similarities, Differences & Optimal Possible Combination of Both
summary
Argues that data fabric = technology (catalogs, knowledge graphs, metadata activation, ML-driven automation) while data mesh = architecture (domain-owned data products, decentralized stewardship and SLAs), cites Gartner adoption under 1.5% as of late 2021, and demonstrates combining them: use data virtualization to avoid redundant copying, central global catalogs plus local catalogs for discoverability, automated PII classification and lineage, and automated ML with bias checks — a hybrid that pragmatically works in pilots.
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chapters (7)
- 0:00Intro
- 1:10What is a Data Fabric - Gartner & Forrester
- 5:05How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh
- 8:53Bitkom Praxisleitfaden: Data Mesh- Datenpotenziale finden und nutzen
- 10:08Gartner Quick Answer: Are Data Fabric and Data Mesh the Same or Different?
- 13:41Making sense of Data Fabric, Data Mesh, and Data Products
- 15:01Data Fabric Technology for Data Mesh Architecture
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