Explore the complementary nature of Data Lakehouse and Data Mesh architectures in this 41-minute talk from Databricks. Delve into the technological advancements of Data Lakehouse, which combines Data Lake capabilities with Data Warehousing practices, and understand how Data Mesh addresses organizational challenges through decentralized ownership and domain-driven design. Learn why these seemingly competing approaches are actually orthogonal and can work together effectively. Gain insights into the oversimplified history of data analytics, practical implementations of Data Mesh, and the importance of aligning technological and organizational changes. Discover how Data Mesh functions as a paradigm while Data Lakehouse serves as a platform, providing a comprehensive understanding of modern data management strategies.
Overview
Syllabus
Intro
Your speakers
The Oversimplified History of Data Analytics
Data Lakehouse
Data Mesh by the Book
Data Mesh in Practice
Two sides of the same coin
Tech approach w/o organizational change
Org change w/o supporting technology
Data Mesh is a paradigm - Lakehouse is a platform
Taught by
Databricks
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