inside front cover
Data Platform Architecture
Architecture of a big data platform with the Azure services used in the reference implementation presented in this book
Data is ingested into the system and persisted in a storage layer. Processing aggregates and reshapes the data to enable analytics and machine learning scenarios. Orchestration and governance are cross-cutting concerns that cover all the components of the platform. Once processed, data is distributed to other downstream systems. All components are tracked by and deployed from source control.
Get Data Engineering on Azure now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
