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Solutions Architect's Handbook

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

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838645649
Length 490 pages
Edition 1st Edition
Tools
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (18) 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 and Machine Learning 14. Architecting Legacy Systems 15. Solution Architecture Document 16. Learning Soft Skills to Become a Better Solution Architect 17. Other Books You May Enjoy

Think data-driven design

Any software solution revolves around the collection and management of data. Take the example of an e-commerce website; the software application is built to showcase product data on the website and encourage the customers to buy them. It starts by collecting customer data when they create a login, adding a payment method, storing order transactions, and maintaining inventory data as the product gets sold. Another example is a banking application, which is about storing customer financial information and handling all financial transaction data with integrity and consistency. For any application, the most important thing is to handle, store, and secure data appropriately.

In the previous section, you have learned about different kinds of data types, along with the storage needs, which should help you to apply data thinking in your design. Solution design is heavily influenced by data and enables you to apply the right design-driven solution by keeping data in mind...

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