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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career as a solutions architect by learning architecture design principles and strategies

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816618
Length 590 pages
Edition 2nd Edition
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Authors (2):
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Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
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Toc

Table of Contents (22) Chapters Close

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization FREE CHAPTER 3. Attributes of the Solution Architecture 4. Principles of Solution Architecture Design 5. Cloud Migration and Hybrid Cloud Architecture Design 6. Solution Architecture Design Patterns 7. Performance Considerations 8. Security Considerations 9. Architectural Reliability Considerations 10. Operational Excellence Considerations 11. Cost Considerations 12. DevOps and Solution Architecture Framework 13. Data Engineering for Solution Architecture 14. Machine Learning Architecture 15. The Internet of Things Architecture 16. Quantum Computing 17. Rearchitecting Legacy Systems 18. Solution Architecture Document 19. Learning Soft Skills to Become a Better Solution Architect 20. Other Books You May Enjoy
21. Index

Visualizing data

Data insights are used to answer important business questions such as revenue by customer, profit by region, or advertising referrals by site, among many others. In the big data pipeline, enormous amounts of data are collected from a variety of sources. However, it is difficult for companies to find information about inventory per region, profitability, and increases in fraudulent account expenses. Some of the data you continuously collect for compliance purposes can also be leveraged for generating business.

The two significant challenges of BI tools are the cost of implementation and the time it takes to implement a solution. Let's look at some technology choices for data visualization.

Technology choices for data visualization

The following are some of the most popular data visualization platforms, which help you to prepare reports with data visualization as per your business requirements:

  • Amazon QuickSight is a cloud-based BI tool for...
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