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Solutions Architect's Handbook - Second Edition

You're reading from  Solutions Architect's Handbook - Second Edition

Product type Book
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816618
Pages 590 pages
Edition 2nd Edition
Languages
Authors (2):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
View More author details

Table of Contents (22) Chapters

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization 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

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...

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