Data Mesh in Practice - How Europe’s Biggest Online Fashion Retailer Goes Beyond the Data Lake

Data Mesh in Practice - How Europe’s Biggest Online Fashion Retailer Goes Beyond the Data Lake

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Intro

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1 of 20

Intro

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Data Mesh in Practice - How Europe’s Biggest Online Fashion Retailer Goes Beyond the Data Lake

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  1. 1 Intro
  2. 2 Who are we?
  3. 3 Legacy Analytics
  4. 4 Legacy Evolving
  5. 5 Zalando's Data Lake
  6. 6 Centralization Challenges
  7. 7 A Recurring Pattern
  8. 8 What is Data Mesh?
  9. 9 Data as a Product
  10. 10 Domain-Driven Distributed Data Architecture
  11. 11 Self-Service Data Infrastructure
  12. 12 An Ecosystem of Data Products
  13. 13 It's a mindset shift
  14. 14 Data Mesh in Practice
  15. 15 Central Services with Global Interoperability
  16. 16 Bring Your Own Bucket (BYOB)
  17. 17 Central Processing Platform
  18. 18 Simplify Data Sharing
  19. 19 How to Ensure Data Quality?
  20. 20 Into the Future

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