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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

Storing data

One of the most common mistakes when setting up storage for a big data environment is using one solution, frequently an RDBMS, to handle all of your data storage requirements.

You will have many tools available, but none of them are optimized for the task they need to complete. One solution is not necessarily the best for all of your needs; the best solution for your environment might be a combination of storage solutions that carefully balance latency with cost. An ideal storage solution uses the right tool for the right job. The following diagram combines multiple factors related to your data and the storage choice associated with it:

Figure 13.4: Understanding data storage

As shown in the proceeding diagram, choosing a data store depends upon the following factors:

  • How structured is your data? Does it adhere to a specific, well-formed schema, as with Apache weblogs (logs are generally not well structured and are unsuitable for relational...
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