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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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Tips and tricks to optimize Amazon Athena queries

When raw data is ingested into the data lake, we can immediately create a table for that data in the AWS Glue Data Catalog (either using a Glue crawler or by running DDL statements with Athena to define the table). Once the table has been created, we can start exploring the table by using Amazon Athena to run SQL queries against the data.

However, raw data is often ingested in plaintext formats such as CSV or JSON. And while we can query the data in this format for ad hoc data exploration, if we need to run complex queries against large datasets, these raw formats are not efficient to query. There are also ways that we can optimize the SQL queries that we write to make the best use of the underlying Athena query engine, which we will review in this chapter.

By default, Amazon Athena’s cost is based on the amount of compressed data that is scanned to resolve your SQL query, so anything that can be done to reduce the...

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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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