You're reading from Microsoft 365 and SharePoint Online Cookbook Over 100 practical recipes to help you get the most out of Office 365 and SharePoint Online

Product type Paperback

Published in Jun 2020

Publisher Packt

ISBN-13 9781838646677

Length 810 pages

Edition 1st Edition

Tools

Office 365

Concepts

Project Management

Authors (2):

Gaurav Mahajan

Sudeep Ghatak

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. Chapter 1: An Introduction to Data Engineering FREE CHAPTER

3. Chapter 2: Data Management Architectures for Analytics

4. Chapter 3: The AWS Data Engineer's Toolkit

5. Chapter 4: Data Cataloging, Security, and Governance

6. Section 2: Architecting and Implementing Data Lakes and Data Lake Houses

7. Chapter 5: Architecting Data Engineering Pipelines

8. Chapter 6: Ingesting Batch and Streaming Data

9. Chapter 7: Transforming Data to Optimize for Analytics

10. Chapter 8: Identifying and Enabling Data Consumers

11. Chapter 9: Loading Data into a Data Mart

12. Chapter 10: Orchestrating the Data Pipeline

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

14. Chapter 11: Ad Hoc Queries with Amazon Athena

15. Chapter 12: Visualizing Data with Amazon QuickSight

16. Chapter 13: Enabling Artificial Intelligence and Machine Learning

17. Chapter 14: Wrapping Up the First Part of Your Learning Journey

18. Other Books You May Enjoy

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 learn more about how Workgroups can help separate groups of users:

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 hands-on exercises in Chapter 4, Data Cataloging, Security, and Governance...