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Actionable Insights with Amazon QuickSight

You're reading from   Actionable Insights with Amazon QuickSight Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801079297
Length 242 pages
Edition 1st Edition
Languages
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Author (1):
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Manos Samatas Manos Samatas
Author Profile Icon Manos Samatas
Manos Samatas
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
2. Chapter 1: Introducing the AWS Analytics Ecosystem FREE CHAPTER 3. Chapter 2: Introduction to Amazon QuickSight 4. Chapter 3: Preparing Data with Amazon QuickSight 5. Chapter 4: Developing Visuals and Dashboards 6. Section 2: Advanced Dashboarding and Insights
7. Chapter 5: Building Interactive Dashboards 8. Chapter 6: Working with ML Capabilities and Insights 9. Chapter 7: Understanding Embedded Analytics 10. Section 3: Advanced Topics and Management
11. Chapter 8: Understanding the QuickSight API 12. Chapter 9: Managing QuickSight Permissions and Usage 13. Chapter 10: Multitenancy in Amazon QuickSight 14. Other Books You May Enjoy

Introducing Amazon QuickSight

Amazon QuickSight is a business intelligence (BI) cloud-native service. BI developers use QuickSight to develop data visualizations and dashboards and report the state of the business. Being cloud-native BI software, QuickSight can scale to thousands of users without the need to provision additional compute capacity. In fact, the concept of compute capacity doesn't exist in QuickSight: AWS is responsible for scaling QuickSight up or down when demand grows or shrinks, while BI developers focus on developing data visualizations.

Next, we will define the following core concepts of QuickSight:

  • Datasets
  • Analysis
  • Visuals and insights
  • Dashboards

Datasets

QuickSight datasets are the data imported into QuickSight for visualization; a dataset can be built from one or more data sources. Amazon QuickSight supports a number of data sources. Datasets can either be cached in QuickSight (SPICE, which we will cover later in this chapter...

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