Book Image

Microsoft Power Platform Enterprise Architecture

By : Robert Rybaric
Book Image

Microsoft Power Platform Enterprise Architecture

By: Robert Rybaric

Overview of this book

For forward-looking architects and decision makers who want to craft complex solutions to serve growing business needs, Microsoft Power Platform Enterprise Architecture offers an array of architectural best practices and techniques. With this book, you’ll learn how to design robust software using the tools available in the Power Platform suite and be able to integrate them seamlessly with various Microsoft 365 and Azure components. Unlike most other resources that are overwhelmingly long and unstructured, this book covers essential concepts using concise yet practical examples to help you save time. You’ll develop the skills you need to architect, design, and manage a complex solution as you follow the journey of a fictitious enterprise customer as they enter the world of Power Platform. Throughout the book, you’ll discover how to combine the functionality of Power Apps, Power Automate, Power BI, and Power Virtual Agents with various methodologies to effectively address application lifecycle management, security, and extensibility. Finally, you'll learn how to overcome common challenges in migrating data to and from Microsoft Power Platform using proven techniques. By the end of this book, you’ll have the strategic perspective of an enterprise architect to make accurate architectural decisions for your complex Power Platform projects.
Table of Contents (15 chapters)
1
Section 1: The Basics
4
Section 2: The Architecture
8
Section 3: Implementation

Contoso Inc. data migration design

The project team for Contoso Inc. has carefully analyzed the possibilities for data migration and the recommended best practices. They now fully understand that data migration is a complex undertaking and needs proper planning, resourcing, and an appropriate timeframe. They know that the first step is to perform an analysis of their IT systems and solutions inventory to help them figure out where the important data is, and how it can be incorporated into the data migration project.

After they performed this analysis, it turned out that their data landscape is very diverse and complex, and that the data migration process will be not simple. The following are their key findings:

  • Within the whole organization, there is approximately 20 global and regional IT systems holding relevant customer data. The technology of these systems is very different. Most of this data is, however, stored in various relational databases, such as Microsoft SQL...