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Data Lakehouse and Data Mesh—Two Sides of the Same Coin

On Demand


  • Session


  • Hybrid


  • Data Lakes, Data Warehouses and Data Lakehouses


  • Retail and Consumer Goods


  • Intermediate


  • Moscone South | Level 2 | 202


  • 35 min
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Over the last few years two new approaches for data management have developed across the data community: Data Lakehouse and Data Mesh. The Data Lakehouse is an open architecture that pushes the technological advancements of a Data Lake by adding data management capabilities proven by a long history of Data Warehousing practices. Data Mesh on the other hand is addressing data management challenges from an organizational angle, by advocating decentralized ownership of domain data while applying product thinking and domain-driven design to analytics data. At first one might think that those two architectural approaches are competing with each other, however in this talk you will learn that the two are rather orthogonal and can go very well together. A Data Lakehouse can strongly benefit from the organizational suggestions of Data Mesh, while a Data Mesh setup in return can be greatly simplified by building up on top of the technological enhancements of the Data Lakehouse.

Session Speakers

Headshot of Max Schultze

Max Schultze

Data Engineering Manager


Headshot of Arif Wider

Arif Wider

Software engineering professor & technology consultant

Thoughtworks & HTW Berlin

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