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Data Engineering with AWS : Build and Implement Complex Data Pipelines Using AWS by Gareth Eagar (2021, Trade Paperback)

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"This is a great book for understanding and implementing the lake house architecture to integrate your Data Lake with your warehouse. It shows you all the steps you need to orchestrate your data pipeline. From architecture, ingestion, and processing to running queries in your data warehouse, I really like the very hands-on approach that shows you how you can immediately implement the topics in your AWS account." -- Andreas Kretz, CEO, Learn Data Engineering About the Author Gareth Eagar has worked in the IT industry for over 25 years, starting in South Africa, then working in the United Kingdom, and now based in the United States. In 2017, he started working at Amazon Web Services (AWS) as a solution architect, working with enterprise customers in the NYC metro area.