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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
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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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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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Toc

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

Q&A

Answer the following questions to test your knowledge of this chapter:

  1. What are the main drivers for dashboard embedding?
  2. What are the different types of embedded analytics with Amazon QuickSight?
  3. What is the role of the STS service in the embedded analytics flow?
  4. What is session capacity planning and what type of embedded analytics is relevant to it?
  5. What are the different layers in the embedded analytics architecture?
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Authors (1)

Profile icon 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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