Connect to Finance and Operations Apps (MB500LP4)

Connect to Finance and Operations Apps
1 Topic
Learning Path Agenda
Module 1: Identify Data Integration Patterns and Scenarios
6 Topics
Objectives
Select an Integration API
Synchronous and Asynchronous Patterns
Data Integration Scenarios
Knowledge Check
Summary
Module 2: Implement Data Integration Concepts and Solutions
13 Topics
Objectives
Develop an Entity and Enable it for Data Export
Implement Custom Services
Expose OData Endpoints from Data Entities
Consume External Web Services
Consume external web services – more info
Integrate Finance and Operations Apps with Microsoft Excel
Integrate Finance and Operations Apps with External Applications by using Power Apps
Download Electronic Document Interchange Solutions
Verify Source and Target Data for Auditing
Debug with JSON Web Tokens
Knowledge Check
Summary
Module 3: Implement the Data Management Package API
8 Topics
Objectives
Import and Export APIs
Monitor the Status of APIs
Manage Entity Change Tracking
Create Wrapper Classes to Consume External Web Services
Create Wrapper Classes with C#
Knowledge Check
Summary
Module 4: Data Integrations
17 Topics
Objectives
Set Up a Data Project and Recurring Data Job
Exercise – Create a Data Project and Recurring Data Job
Implement Authorization to Support Integration
Monitor Status and Availability Of Entities
Develop Data Transformation
Microsoft Dataverse Integrations
Integrate Dataverse using virtual entities
Work with Composite Data Entities
Work with aggregate data entities
Azure Data Lake and Entity Store
Connect Tier-1 (dev) environments to Azure Data Lake
Steps to connect Tier-1 (dev) environments to Azure Data Lake
Change Data in Azure Data Lake
Power Platform Convergence
Knowledge Check
Summary
Activity 1
1 Topic
Video: Integration with Dataverse using a virtual entity
Module 5: Prepare data for migration
7 Topics
Objectives
Select a Data Integration (Import/Export) Strategy
Common Migration Scenarios and Tools
Bring Your Own Database (BYOD)
Test a Data Migration and Validate Output
Knowledge Check
Summary
Module 6: Manage data sources with external data stores
7 Topics
Introduction
Identify Report Data Source Requirements for External Sources
Create and Manage Custom Data Sources
Optimize Data Entities to Achieve Better Performance
Exercise – Create a Data Entity
Knowledge Check
Summary
Module 7: Integrate with Microsoft Azure
10 Topics
Introduction
Develop and Integrate by Using Logic Apps
Develop and Integrate Microsoft Power Platform
Integrate Finance and Operations Apps with Enterprise Applications
Automate EAI, B2B, EDI, and Business Processes with Logic Apps
Consume Data from the Azure Machine Learning Service
Enable Connectivity with External Services
Optimize Data Entities to Achieve Better Performance
Knowledge Check
Summary
Module 8: Connect to Microsoft Power Platform services
6 Topics
Module Introduction
Connect your Finance and Operations Apps Data Using Power Automate
Connect to Your Finance and Operations Apps Data with Power Apps
Finance and Operations Data on Common Data Model and Microsoft Dataverse
Knowledge Check
Summary
Module 9: Work with Tools and Best Practices to Integrate with Microsoft Power Platform
10 Topics
Objectives
Alerting and Automatic Actions
Pause and Resume Options
Initial Synchronization
Live Synchronization
Tools for Performance Issues
Best Practices
Exercise – Troubleshoot Dual-write Integration
Knowledge Check
Summary
Activity 2
1 Topic
Lab 4: Create a composite data entity
Learning Path Recap
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Knowledge Check

  1. Batch data integration: You should select a batch data integration for asynchronous scenarios like this for batch-run integrations.
  2. Recurring integrations support both files and data packages.
  3. Yes: Both recurring integrations and the data management framework support REST protocols.