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Intro to Databricks Lakehouse Platform Architecture and Security
Abstract
This video is designed for everyone who is new to Databricks Lakehouse Platform Architecture and Security.
By the end of this course, you’ll be able to:
- Explain the importance of data reliability and performance on platform architecture
- Define Delta Lake and its features
- Describe how Photo improves performance of the Databricks Lakehouse Platform
Earn the Fundamentals of the Databricks Lakehouse Platform Accreditation:
Data Lakehouse and Data Mesh—Two Sides of the Same Coin
Over the last few years two new approaches to data management have been developed in the data community: Data Mesh and Data Lakehouse. The latter 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.