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Architecting Cloud Computing Solutions

You're reading from   Architecting Cloud Computing Solutions Build cloud strategies that align technology and economics while effectively managing risk

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472425
Length 378 pages
Edition 1st Edition
Tools
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Authors (2):
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Kevin L. Jackson Kevin L. Jackson
Author Profile Icon Kevin L. Jackson
Kevin L. Jackson
 Goessling Goessling
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Goessling
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
Prologue
1. What is Cloud Computing? FREE CHAPTER 2. Governance and Change Management 3. Design Considerations 4. Business Drivers, Metrics, and Use Cases 5. Architecture Executive Decisions 6. Architecting for Transition 7. Baseline Cloud Architectures 8. Solution Reference Architectures 9. Cloud Environment Key Tenets and Virtualization 10. Cloud Clients and Key Cloud Services 11. Operational Requirements 12. CSP Performance 13. Cloud Application Development 14. Data Security 15. Application Security 16. Risk Management and Business Continuity 17. Hands-On Lab 1 – Basic Cloud Design (Single Server) 18. Hands-On Lab 2 – Advanced Cloud Design Insight 19. Hands-On Lab 3 – Optimizing Current State (12 Months Later) 20. Cloud Architecture – Lessons Learned
1. Epilogue
2. Other Books You May Enjoy Index

Database


Database PaaS services typically align as either a SQL/relational form or NoSQL/non-relational type.

SQL/relational databases handled data comprising large numbers of similar data elements. These elements have identifiable dependencies among each other. When this structured data is queried, users make certain assumptions about the data structure and the relationship consistency between the retrieved data elements.

Data elements are recorded in tables, where each column represents a data element attribute. Table columns may also embed dependencies for how entries in one table column relate to a corresponding column in a different table. These dependencies are strictly enforced during any data manipulation.

In No-SQL/non-relational databases (Mongo, Map Reduce, and so on), an enforced database structure does not exist. This is useful when processing large data sets and the process is split up and mapped to multiple application components. This is often the case with cloud applications...

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