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

AWS services that help enable a data mesh approach

Most analytics vendors have been adding functionality to their solutions to support a data mesh approach over the past few years. And while there is currently no single solution that enables a data mesh across a complex selection of analytical tools and hybrid environments, many companies have made good progress in supporting the data mesh approach, at least within their own “ecosystem” of tools.

AWS has supported sharing both S3-and Redshift-based datasets across AWS accounts for a while. And while easy sharing of data across different AWS accounts (and different teams within an organization generally have their own AWS accounts) is a key component of a data mesh architecture, it is only a piece of building a data mesh. Another key component is the ability to centrally catalog data and add rich business metadata for each dataset, which can be done with the Amazon DataZone service. In this section, we explore the...

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Data Engineering with AWS - Second Edition

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

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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AWS services that help enable a data mesh approach

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