You're reading from Data Engineering with AWS - Second Edition

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Published inOct 2023

PublisherPackt

ISBN-139781804614426

Edition2nd Edition

Concepts

Data Engineering

Author (1)

Gareth Eagar

Architecting and Implementing Data Lakes and Data Lake Houses

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, Ingesting Batch and Streaming Data
Chapter 7, Transforming Data to Optimize for Analytics
Chapter 8, Identifying and Enabling Data Consumers
Chapter 9, A Deeper Dive into Data Marts and Amazon Redshift
Chapter 10, Orchestrating...

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Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

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Author (1)

Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.
Read more about Gareth Eagar

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