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Microsoft Power Platform Enterprise Architecture

You're reading from   Microsoft Power Platform Enterprise Architecture Design tailor-made solutions for architects and decision makers to meet complex business requirements

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781804612637
Length 534 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Robert Rybaric Robert Rybaric
Author Profile Icon Robert Rybaric
Robert Rybaric
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section I: The Basics FREE CHAPTER
2. Microsoft Power Platform and Microsoft Dynamics 365 Overview 3. Microsoft 365 and Microsoft Azure Overview 4. Section II: The Architecture
5. Understanding the Microsoft Power Platform Architecture 6. Power Platform Customization and Development Tools and Techniques 7. Application Lifecycle Management 8. Section III: The Implementation
9. Implementation Approach and Methodologies 10. Microsoft Power Platform Security 11. Microsoft Power Platform Extensibility 12. Microsoft Power Platform Integration 13. Microsoft Power Platform Data Migration 14. Best Practices for Solution Architecture 15. Other Books You May Enjoy
16. Index
Appendix

Best Practices for Solution Architecture

The following sections are an arrangement of all the best practices we have provided for the key topics found in this book. These practices have been collected for anyone who needs advice concerning their Power Platform solution but does not need to revisit the groundwork knowledge in the relevant chapters. Although these practices are the result of decades of experience, strive to be both practical and fact-driven, and are generally accepted, it should be acknowledged that there is some room for subjectivity on all these fronts and some situations may call for a different approach.

Below, we will cover the best practices for all major areas of Power Platform solution architecture, including the following:

  • Architectural best practices
  • Application lifecycle management best practices
  • Security best practices
  • Extensibility best practices
  • Integration best practices
  • Data migration best practices
...
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