October 2023
Intermediate to advanced
636 pages
17h 2m
English
Content preview from Data Engineering with AWS - Second Edition
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Section 2
Architecting and Implementing Data Engineering Pipelines and Transformations
In this section of the book, we examine an approach for architecting a high-level data pipeline and then dive into the specifics of data ingestion and transformation. We will examine different types of data consumers, learn about the important role of data marts and data warehouses, and finally put it all together by orchestrating our own data pipelines. We get hands-on with various AWS services for data ingestion (Amazon Kinesis and DMS), transformation (AWS Glue Studio), consumption (AWS Glue DataBrew), and pipeline orchestration (Step Functions).
This section comprises the following chapters:
- Chapter 5, Architecting Data Engineering Pipelines
- Chapter 6 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.