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

View More author details

Table of Contents (19) Chapters

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

Creating and sharing visuals with QuickSight analyses and dashboards

Once a dataset has been imported (and optionally transformed), you can create visualizations of this data using QuickSight analyses. This is the tool that is used by QuickSight authors to create new dashboards, with these dashboards containing one or more visualizations that can be shared with others in the business.

When you create a new analysis/dashboard, you choose one or more datasets to include in the analysis (up to a maximum of 50 datasets per dashboard). Each analysis consists of one or more sheets (or tabs, much like browser tabs) that display a group of visualizations. You can have up to 20 sheets (tabs) per dashboard, and each sheet can have up to 30 visualizations.

Once you have created an analysis (consisting of multiple visuals, optionally across multiple sheets), you can choose to publish the analysis as a dashboard. When you're publishing a dashboard, you can select various parameters related...