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Microsoft Power Platform Solutions Architect's Handbook

Microsoft Power Platform Solutions Architect's Handbook - Second Edition

By : Hugo Herrera
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Microsoft Power Platform Solutions Architect's Handbook

Microsoft Power Platform Solutions Architect's Handbook

By: Hugo Herrera

Overview of this book

Struggling to architect secure, scalable Power Platform solutions that keep up with AI and enterprise demands? Microsoft Power Platform Solutions Architect's Handbook is your expert guide to building intelligent, future-ready applications with Microsoft's low-code platform. This updated second edition brings you the latest on Copilot, Azure OpenAI, AI Builder, and Power Platform AI patterns. Through a hands-on enterprise case study, you'll work through every stage of solution architecture, from requirements analysis and envisioning to secure data modeling, integration, governance, and DevOps implementation. You'll tackle real-world challenges such as licensing constraints, ALM pipeline design, multi-cloud integration, and establishing a Center of Excellence. A refreshed PL-600 certification prep chapter with current questions and exam tips will help you gear up for the exam. By the end of this book, you'll have the mindset, tools, and strategies to design scalable, AI-enhanced Power Platform solutions while using the latest in LLM and GPT technologies. Whether modernizing legacy systems or architecting cloud-native applications, this book equips you to lead digital transformation initiatives with enterprise-grade excellence.
Table of Contents (28 chapters)
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Lock Free Chapter
1
Part 1:Introduction
4
Part 2: Requirements Analysis, Solution Envisioning, and the Implementation Roadmap
10
Part 3: Architecting the Power Platform Solution
15
Part 4: Harnessing the Power of Artificial Intelligence
18
Part 5: Implementing Solid Power Platform Solutions
24
Part 6: Power Platform Solution Architect Certification Prep

Understanding the Existing Architectural Landscape

In this chapter, we focus on the architectural landscape and data sources at Skyline Harbor, gaining a deep understanding of the digital transformation project start line. You will learn how to evaluate the overall enterprise architecture, the current sources of data, their locations, and their use cases. Documenting the existing architecture and data models will solidify your understanding and facilitate the upcoming requirements capture sessions.

We will explore the following key areas:

  • Evaluating the current architectural landscape
  • Identifying existing sources of data, their usage, and their quality standards
  • Documenting the organization’s architecture
  • Anticipating future challenges

Understanding the existing architectural landscape is an important first step on the way to defining the target architecture. The design choices ahead will be informed by a thorough understanding of the current framework...

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