Part 2: Data Engineering on Azure
This part focuses on the data engineering aspects of a full-scale data platform – data ingestion, mass storage, and transformation processes. You will learn different methods and architectural patterns for ingesting data in the cloud. You will also learn how to move and transform data and perform ETL and ELT processes using data pipelines. Finally, you will find out how to get maximum value from implementing a highly scalable data lake as a primary point of storage on your data platform.
This part has the following chapters:
Get Azure Data and AI Architect Handbook 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.
