You're reading from Data Engineering with AWS Acquire the skills to design and build AWS-based data transformation pipelines like a pro

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781804614426

Length 636 pages

Edition 2nd Edition

Tools

AWS

Concepts

Data Engineering

Author (1):

Gareth Eagar

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Table of Contents (24) Chapters

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. An Introduction to Data Engineering FREE CHAPTER

3. Data Management Architectures for Analytics

4. The AWS Data Engineer’s Toolkit

5. Data Governance, Security, and Cataloging

6. Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations

7. Architecting Data Engineering Pipelines

8. Ingesting Batch and Streaming Data

9. Transforming Data to Optimize for Analytics

10. Identifying and Enabling Data Consumers

11. A Deeper Dive into Data Marts and Amazon Redshift

12. Orchestrating the Data Pipeline

13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

14. Ad Hoc Queries with Amazon Athena

15. Visualizing Data with Amazon QuickSight

16. Enabling Artificial Intelligence and Machine Learning

17. Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World

18. Building Transactional Data Lakes

19. Implementing a Data Mesh Strategy

20. Building a Modern Data Platform on AWS

21. Wrapping Up the First Part of Your Learning Journey

22. Other Books You May Enjoy

23. Index

Technical requirements

In the hands-on sections of this chapter, you will perform administrative tasks related to Amazon Athena (such as creating a new Athena workgroup) and run Athena queries. As mentioned at the start of this book, we strongly recommend that, for the exercises in this book, you use a sandbox account where you have full administrative permissions.

For this chapter, at a minimum, you will need permissions to manage Athena workgroups, permissions to run Athena queries, access to the AWS Glue Data Catalog for databases and tables to be queried, and read access to the relevant underlying S3 storage.

A user that has the AmazonAthenaFullAccess and AmazonS3ReadOnlyAccess policies attached should have sufficient permissions for the exercises in this chapter. However, note that a user with these roles will have access to all S3 objects in the account, all Glue resources, all Athena permissions, as well as various other permissions, so this should only be granted to...