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

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781804614426
Edition2nd Edition
Concepts
Data Engineering
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Author (1)
Gareth Eagar
Gareth Eagar
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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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Moving data between a data lake and Redshift

Moving data between a data lake and a data warehouse, such as Amazon Redshift, is a common requirement for many use cases. Data may be cleansed and processed with Glue ETL jobs in the data lake, for example, and then hot data can be loaded into Redshift so that it can be queried via BI tools with optimal performance.

In the same way, there are certain use cases where data may be further processed in the data warehouse, and this newly processed data then needs to be exported back to the data lake so that other users and processes can consume this data.

In this section, we will examine some best practices and recommendations for both ingesting data from the data lake and exporting data back to the data lake.

Optimizing data ingestion in Redshift

While there are various ways that you can insert data into Redshift, the recommended way is to bulk ingest data using the Redshift COPY command. The COPY command enables optimized...

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Data Engineering with AWS - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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