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

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781804614426
Edition2nd Edition
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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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Technical requirements

In the last section of this chapter, we will go through a hands-on exercise that uses Amazon SQS and AWS Lambda, to send some text to the Amazon Comprehend service so that we can extract insights from it.

As with the other hands-on activities in this book, if you have access to an administrator user in your AWS account, you should have the permissions needed to complete these activities. If not, you will need to ensure that your user is granted access to create Amazon SQS and AWS Lambda resources, as well as at least read-only permissions for Amazon Comprehend APIs.

You can find the code files of this chapter in the GitHub repository using the following link: https://github.com/PacktPublishing/Data-Engineering-with-AWS-2nd-edition/tree/main/Chapter13

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Data Engineering with AWS - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781804614426

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