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:
- Chapter 3, Ingesting Data into the Cloud
- Chapter 4, Transforming Data on Azure
- Chapter 5, Storing Data for Consumption