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  • Book Overview & Buying Microsoft Power Apps Cookbook
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Microsoft Power Apps Cookbook

Microsoft Power Apps Cookbook

By : Eickhel Mendoza
3.9 (7)
Buy this Book
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Microsoft Power Apps Cookbook

Microsoft Power Apps Cookbook

3.9 (7)
By: Eickhel Mendoza
Buy this Book

Overview of this book

Microsoft Power Apps Cookbook is a complete resource filled with meticulously crafted recipes to help you build customized business apps that meet ever-changing enterprise demands. You will learn how to design modern apps with the low-code approach in a rapid application development environment by achieving enterprise-wide business agility.
Table of Contents (13 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Download the example code files
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Download the color images
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Conventions used
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Get in touch
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Reviews
1
Chapter 1: Building pixel-perfect solutions with Canvas Power Apps
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Chapter 1: Building pixel-perfect solutions with Canvas Power Apps
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Discovering best practices when building canvas apps
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Creating an incident tracking solution – Setting up the data source
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Creating an incident tracking solution – Building the user interface
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Embedding an expense tracking list with SharePoint list Power Apps
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Creating a Power App from existing data
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Chapter 2: Building from data with model-driven apps
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Chapter 2: Building from data with model-driven apps
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Technical requirements
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Exploring Dataverse
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Building a help desk solution
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Defining data structures
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Building the model-driven app
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Setting up business process logic
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Designing dashboards to visualize data
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Integrating canvas apps inside model-driven apps
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Chapter 3: Choosing the right data source for your applications
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Chapter 3: Choosing the right data source for your applications
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Technical requirements
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Data sources and the licensing model
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Reducing your application complexity by using Azure SQL database views
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Choosing the right data source – real-world tests
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Integrating on-premises data with the data source flexibility of canvas apps
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Improving application speed and responsiveness by using static data
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Consuming external data by using Dataflows
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Chapter 4: Automating processes with Power Automate
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Chapter 4: Automating processes with Power Automate
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Technical requirements
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The different types of flows
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Creating a sales survey solution with Power Automate and Microsoft Forms
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Building a file processing automation for SharePoint document libraries
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Overcoming Power Apps delegation with Power Automate
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Creating a modular solution with Power Automate
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Chapter 5: Extending the Platform
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Chapter 5: Extending the Platform
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Technical requirements
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User interface guidelines
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Setting up your first canvas Power Apps component
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Building a floating action button component
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Creating a vertical navigation component
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Developing template fields using components
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Using the Power Apps component library
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Expanding communications with custom connectors
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Chapter 6: Improving User Experience
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Chapter 6: Improving User Experience
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Technical requirements
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Enhancing application interfaces
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Building a responsive password manager in Power Apps – setting up the Azure Key Vault service
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Building a responsive password manager in Power Apps – designing an adaptive application
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Chapter 7: Power Apps Everywhere
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Chapter 7: Power Apps Everywhere
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Technical requirements
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Discovering Power Apps Mobile and the Windows desktop player
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Leveraging modern browsers for Power Apps
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Improving SharePoint document libraries with Power Apps
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Embedding Power Apps in SharePoint pages
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Making Power BI reports interactive with embedded Power Apps
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Working with Power Apps in Microsoft Teams channels
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Automating the integration of Power Apps inside Teams
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Building apps with Dataverse for Teams
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Chapter 8: Empowering your applications with no code Artificial Intelligence
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Chapter 8: Empowering your applications with no code Artificial Intelligence
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Technical requirements
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Creating a customer success solution using sentiment analysis
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Building a text recognition system using canvas apps
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Using Power Automate to create an invoice classification system
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Chapter 9: Discovering the Power Platform admin center
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Chapter 9: Discovering the Power Platform admin center
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Technical requirements
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Managing Power Platform environments
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Gathering Power Platform analytics
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Synchronizing data using data integration
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Managing connectors through data policies
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Chapter 10: Tips, Tricks, and Troubleshooting
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Chapter 10: Tips, Tricks, and Troubleshooting
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Technical requirements
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Sharing OneDrive data between tenants
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Playing with vectors – SVGs in canvas apps
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Transferring SharePoint List Power Apps from one site to another
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Troubleshooting using the Power Apps canvas Monitor
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Extending screen real estate using the canvas control
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Handling image resources in components
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Changing Azure SQL Server connections in Power Apps with ease
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Renaming files in SharePoint document libraries
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Chapter 11: Advanced Techniques with Power Apps Component Framework
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Chapter 11: Advanced Techniques with Power Apps Component Framework
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Technical requirements
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Setting up your environments
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Configuring Font Awesome
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Creating the project
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Building the application logic
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Deploying the solution
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Testing the component on a canvas app
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Other Books You May Enjoy
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Other Books You May Enjoy
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Consuming external data by using Dataflows

The data for your solutions can come from very different sources: relational databases, on-premises data, analytics data, APIs, and even from regular files. This variety of data sources can be in any location or without an infrastructure to provide data.

Dataflows aim to be an instrument to gather all kinds of data sources into Dataverse. With this tool, you will be able to consolidate all the required data, related or not, into Dataverse, where you can then improve the collected information by adding views, relationships, and the like. Dataflows not only gather information but also allow you to transform it while doing it.

Using Power Query, the same technology used in Power BI, gives you a full set of features to shape your data. For more information about Power Query, please refer to https://docs.microsoft.com/en-us/power-query/power-query-what-is-power-query

Dataflows can run manually or on a schedule. They live in your environments...

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