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

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

Hands-on – creating an Amazon Athena workgroup and configuring Athena settings

In this section, we’re going to create and configure a new Athena workgroup, and set a per query data limit:

Log into AWS Management Console and access the Athena service using this link: https://console.aws.amazon.com/athena.
Expand the left-hand menu and click on Workgroups to access the workgroup management page.

Figure 11.2: Athena Console showing Workgroups

On the workgroup management page, click on Create workgroup and enter the following values for our new workgroup. For the items not listed here, leave the defaults as-is:
- Workgroup name: Provide a descriptive name for the workgroup, such as datalake-user-sandbox.
- Description: Optionally, provide a description for this workgroup, such as Sandbox workgroup for new datalake-users.
- Query result location (in the Query result configuration section): In the hands-on exercises...