"Data Mesh in Kubernetes", Andrii Syniuk
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PwC Germany is working with a lot of data from different domains and sources, access to which should be properly governed. To tackle those problems and to make access to the data more transparent and straight-forward, we’re building our internal Data Ecosystem. From this talk, we will cover the following topics: Data storage and analytics evolution What is Data Mesh? How do we build it in Kubernetes? Challenges that we were dealing with, and see in front of us.
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"Data Mesh in Kubernetes", Andrii Syniuk
- 2. 1. Introduction 2. Data storage and analytics evolution 3 What is Data Mesh? 4. Motivation 5. Components, Implementation, Evolution 6. Challenges 7. Q&A Agenda
- 4. whoami https://www.linkedin.com/in/andrii-syniuk/ Domain Driven Design enthusiast Software Engineer Site Reliability Engineer Data Ecosystem Tech Lead Data curious gold digger
- 5. Data Storage and Analytic evolution 2
- 6. Modern Software architectures and data in it Monolithic Architecture microservices.io Data Warehouse
- 7. Modern Software architectures and data in it
- 8. What is Data Mesh? 3
- 9. Main principles • Data as a Product • Federated Governance • Domain Ownership • Self serve Data Mesh 9
- 10. Motivation 4
- 11. Why bother? It was working just fine. - Reusing data products - Faster time to market - Decentralized data teams
- 13. Components
- 15. Challenges 6
- 16. Challenges - Policy As A Code - Data quality - A lot of small databases - Avoiding vendor lock-in - Platformization - Get it work together
- 17. Q&A 7