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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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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

Defining extensible Power Platform data models

When creating a model for the data to be stored within Dataverse, solutions architects review the business requirements, alongside Dataverse’s capabilities, and aim to create a design that fulfills short-term and long-term goals. To make those design decisions, solutions architects must have a thorough understanding of Dataverse’s table and column capabilities.

Dataverse table types

At a high level, Dataverse tables may be categorized as standard tables, activity tables, or virtual tables.

An overview of the capabilities and key considerations for these three table types will be provided in this subsection.

Standard tables

Standard tables make up most of the tables that are used within a Power Platform application. They benefit from the full range of security role permissions. They store general business data that resides within Dataverse and don’t need to be automatically linked to other activity-enabled...

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