Tech Talks #3: Implementation of a Data Mesh for Engelbert Strauss

A Data Mesh is a decentralized data platform that builds on the ideas of domain-driven design. It can be an important step on the way to a data-driven company by improving the availability and quality of analytical data in a scalable and agile way. Each Data Mesh is unique and tailored to a company, its organization, and its use cases. Join CID's Anna Schmidt and Dr. Lucas Heimberg for a new video discussing the design principles of the Data Mesh at Engelbert Strauss, a leading German brand that manufactures workwear and protective clothing.

Read our blog article "Implementation of a Data Mesh for Engelbert Strauss".
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German version: https://eu1.hubs.ly/H0cDkcm0

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Chapters

0:00 – Introduction
0:28 – Agile Transition at Engelbert Strauss
1:52 – A centralized legacy data platform
2:35 – Decentralized operational systems vs centralized data warehouses
4:42 – The Data Mesh Architecture
5:39 – Data Mesh Principle: Domain ownership
6:16 – Data Mesh Principle: Data as a Product
6:49 – Data Mesh Principle: Self-serve Data Platform
7:12 – Data Mesh Principle: Federated Computational Governance
8:40 – Implementation of a Data Mesh
10:50 – Implementation of the Data Mesh at Engelbert Strauss
12:37 – Infrastructure Plane
13:24 – Developer Experience Plane
14:31 – Mesh Supervision Plane
16:10 – Data Access
16:45 – Conclusion
17:46 – Recommendations for your Data Mesh