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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

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801079297

Length 242 pages

Edition 1st Edition

Languages

Python

Tools

Amazon QuickSight

Concepts

Business Intelligence

Author (1):

Manos Samatas

View More author details

Table of Contents (15) Chapters

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

Chapter 2: Introduction to Amazon QuickSight

In this chapter, we will introduce Amazon QuickSight and we will define its main components. We will discuss fundamental architectural topics such as networking and storage, and look closely at the different editions of Amazon QuickSight and understand the different options available during account creation. Finally, we will walk through a step-by-step guide to set up a QuickSight account, and configure the QuickSight permissions to access data in a data lake.

To summarize, in this chapter, we will cover the following:

Introducing Amazon QuickSight
Introducing QuickSight editions and user authorization options
Setting up Amazon QuickSight

The rest of the chapter is locked

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Authors (1)

Samatas

Samatas

Manos Samatas is a Solutions Architect specializing in Big Data and Analytics. He has several years of experience developing and designing big data applications for various industries, including telecommunications, cybersecurity, healthcare, and public sector. He is an accredited AWS Subject Matter Expert (SME) in Analytics and he is certified with the AWS Data Analytics Specialty and the AWS Solutions Architect Professional certifications. Manos lives in London with his fiancé Gabriela. In his free time, he enjoys traveling, socializing with friends, and taking care of his plants.

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