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Mastering DevOps on Microsoft Power Platform

You're reading from   Mastering DevOps on Microsoft Power Platform Build, deploy, and secure low-code solutions on Power Platform using Azure DevOps and GitHub

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835880845
Length 444 pages
Edition 1st Edition
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Authors (2):
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Uroš Kastelic Uroš Kastelic
Author Profile Icon Uroš Kastelic
Uroš Kastelic
József Zoltán Vadkerti József Zoltán Vadkerti
Author Profile Icon József Zoltán Vadkerti
József Zoltán Vadkerti
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Understanding DevOps on Microsoft Power Platform FREE CHAPTER
2. Chapter 1: Mastering DevOps and ALM for Efficient Software Development 3. Chapter 2: Getting Started with Microsoft Power Platform 4. Chapter 3: Exploring ALM and DevOps in Microsoft Power Platform 5. Part 2:Implementing DevOps on Microsoft Power Platform
6. Chapter 4: Understanding Power Platform Environments and Solutions 7. Chapter 5: Streamlining Power Platform Development with DevOps Tooling 8. Chapter 6: A Deep Dive into Continuous Integration/Continuous Deployment (CI/CD) Pipelines 9. Chapter 7: An Overview of DevSecOps in Power Platform 10. Chapter 8: Demonstrating ALM and DevOps Implementation 11. Part 3:Exploring DevOps Best Practices and the Road Ahead
12. Chapter 9: Implementing the Fusion Development Approach 13. Chapter 10: Enabling Pro-Dev Extensibility in Power Platform 14. Chapter 11: Managing the Environment Life Cycle with Design Best Practices 15. Chapter 12: Looking Ahead with Copilots, ChatOps, and AI-Infused Applications 16. Index 17. Other Books You May Enjoy

What about data – Dataverse and data modeling aspects

We all know that applications don’t work without data. Either they use the data to change their own behavior (as for applications run on data), or they manipulate it with the well-known Create-Read-Update-Delete (CRUD) operations.

Microsoft Dataverse is a cloud-based data platform, a powerful database layer, the first party storage service of Microsoft Power Platform that stores not just relational data in SQL-like tables but also files, logs, and NoSQL IoT data. Under the hood, Dataverse seamlessly uses many Azure services, behaving as a polyglot persistence layer. The following figure shows the high-level architecture of Dataverse and the Microsoft Azure services used:

Figure 4.4 – The Dataverse polyglot concept under the hood

Figure 4.4 – The Dataverse polyglot concept under the hood

As we can see in the figure, an Azure Load Balancer scales requests across several compute services:

  • Web for handling OData API requests
  • ...
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