Description

Introduction of Power Apps Data Management

This course provides a comprehensive guide to managing data in Microsoft Power Apps. Participants will learn how to connect to various data sources, manage and manipulate data, and ensure data integrity and security within their apps. The training is designed for users who want to effectively handle data within Power Apps to build robust, data-driven applications.

Prerequisites

1. Basic understanding of Microsoft Power Apps
2. Familiarity with data concepts and business processes
3. Basic knowledge of databases and data management
4. No prior experience with complex data integrations required

Table of contents

1. Introduction to Data Management in Power Apps

• 1.1 Overview of Data Management in Low-Code Applications
• 1.2 Understanding Power Apps Data Architecture
• 1.3 Key Data Sources Supported by Power Apps

2. Connecting to Data Sources

• 2.1 Exploring Available Connectors (Standard & Premium)
• 2.2 Connecting to SharePoint Lists
• 2.3 Integrating with Microsoft Dataverse
• 2.4 Using SQL Server as a Data Source
• 2.5 Connecting to Excel, OneDrive, and Google Sheets
• 2.6 Accessing APIs and Third-Party Data Sources

3. Working with Dataverse in Power Apps

• 3.1 Introduction to Microsoft Dataverse
• 3.2 Creating and Managing Tables
• 3.3 Defining Relationships Between Tables
• 3.4 Using Dataverse for Model-Driven Apps
• 3.5 Managing Security and Access Controls in Dataverse

4. Managing Data in Canvas Apps

• 4.1 Designing Forms for Data Entry
• 4.2 Using Galleries for Data Display and Interaction
• 4.3 Implementing Filters and Search Functions
• 4.4 Updating and Deleting Records Efficiently
• 4.5 Handling Data Validation and Error Handling

5. Power Apps Formulas for Data Manipulation

• 5.1 Understanding Power FX for Data Operations
• 5.2 Using Lookup and Filter Functions
• 5.3 Performing Data Aggregations and Calculations
• 5.4 Managing Date, Time, and String Operations

6. Data Security and Access Control

• 6.1 Role-Based Access Control (RBAC) in Power Apps
• 6.2 Setting Permissions for Different Data Sources
• 6.3 Implementing Conditional Visibility and Security Filters
• 6.4 Preventing Unauthorized Data Access

7. Automating Data Processes with Power Automate

• 7.1 Introduction to Power Automate for Data Management
• 7.2 Creating Flows to Automate Data Transfers
• 7.3 Automating Notifications and Approvals
• 7.4 Managing Large Data Sets with Power Automate

8. Performance Optimization and Best Practices

• 8.1 Optimizing Query Performance in Power Apps
• 8.2 Reducing API Calls and Improving App Responsiveness
• 8.3 Best Practices for Handling Large Data Sets
• 8.4 Debugging and Troubleshooting Data Connectivity Issues

9. Advanced Data Integration Scenarios

• 9.1 Working with External Databases and Web APIs
• 9.2 Integrating Power BI for Advanced Reporting
• 9.3 Using AI Builder for Smart Data Processing
• 9.4 Creating Custom Connectors for Unique Data Sources

10. Publishing and Managing Data-Driven Apps

• 10.1 Deploying Power Apps with Data Connections
• 10.2 Managing App Versions and Data Updates
• 10.3 Sharing and Collaborating on Data-Enabled Apps

11. Future Trends and Learning Resources

• 11.1 Emerging Trends in Power Apps and Data Management
• 11.2 Microsoft Certifications for Power Apps and Data Integration
• 11.3 Additional Learning Resources and Best Practices

This training program is designed to help participants effectively manage and connect data sources within Power Apps, providing the skills needed to build robust, data-driven applications and ensuring data integrity and security.

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