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Microsoft

Connect to finance and operations apps

Microsoft via Microsoft Learn

Overview

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  • As a developer, you're usually part of the data integration scenarios during and after a finance and operations apps implementation. This module explores web application programming interfaces (APIs) that are available for finance and operations apps and helps you understand the key differences between synchronous and asynchronous integrations for the application.

    In this module, you'll:

    • Identify integration web application programming interfaces.
    • Identify the key differences between synchronous and asynchronous integrations.
  • Connect to your finance and operations apps data by using data entities, where data is accessed outside of the application and with different endpoint and external applications.

    In this module, you will:

    • Create a data entity.
    • Enable data management capabilities.
    • Create and extend data entities
    • Expose Open Data Protocol (OData) endpoints with data entities.
    • Identify custom service endpoints.
    • Discover external web services that are available for use.
    • Consume external web services.
    • Connect to your data with the Microsoft Excel add-in.
    • Connect to your data with Microsoft Power Apps.
  • Integrate with finance and operations apps using REST API data packages, import/export APIs, check status, and create wrapper classes in C# and X++.

    In this module, you will:

    • Import and export APIs between finance and operations apps cloud deployments and on-premises deployments.
    • Import and export APIs between on-premises deployments.
    • Use GetExecutionSummaryStatus to get the status and availability of APIs.
    • Create wrapper classes with C# and X++
  • Set up recurring integrations to enable exchange of documents between finance and operations and other apps.

    In this module, you will:

    • Set up a data project.
    • Set up a recurring data job.
    • Define authorization for integrations by using OAuth.
    • Monitor the status and availability of entities.
    • Develop data transformations.
    • Use Microsoft Dataverse to synchronize entities between Dynamics 365 applications.
    • Use composite data entities.
    • Integrate composite data entities.
    • Export composite data entities.
    • Learn about Azure Data Lake and Entity Store, and how to change data in Azure Data Lake
    • Learn about Microsoft Power Platform convergence.
  • When it's time to migrate data, the more you know, the easier it is to control operational complexity and reduce costs. Your customer's business continuity must be your priority. Learn how to prepare data for migration, by using the data management framework to manage data entities and data entity packages in finance and operations apps.

    In this module, you will learn how to:

    • Choose a data integration (import/export) strategy.
    • Identify common migration scenarios and tools in finance and operations apps.
    • Understand the Bring your own database (BYOD) feature.
    • Identify relevant (legacy) systems.
    • Identify and import static data that is common between industries.
    • Create and review test plans for data migration.
    • Identify and extract source data.
    • Identify relevant data entities and elements.
    • Generate field mapping between source and target data structures.
    • Test a data migration and validate output.
    • Support the transition between the existing and migrated systems.
  • Administrators often need access to their data from finance and operations apps, to perform analytics that will help ensure that certain parameters or business metrics are met.

    In this module, you will:

    • Learn about the core concepts of Bring Your Own Database (BYOD) and its advantages compared with the Entity Store.
    • Create and manage custom data sources.
    • Learn how to optimize data entities to achieve better performance
  • Finance and operations apps are integrated with Microsoft Azure to help power many of its built-in capabilities, such as search and intelligence. This module will focus on custom cloud integrations that you can build that are unique to your own project integration needs.

    In this module, you will:

    • Develop and integrate by using Logic Apps.
    • Integrate finance and operations apps with enterprise applications.
    • Develop and integrate Microsoft Power Platform.
    • Automate EAI, B2B, EDI, and business processes.
    • Consume data from Azure Machine Learning (ML) service.
    • Enable connectivity with external services.
  • Microsoft Power Platform services like Power Apps and Power Automate, and the Common Data Model are tools that you can use to create efficient ways to get more work done with finance and operations apps.

    In this module, you will:

    • Connect your finance and operations apps data with Power Automate.
    • Learn about triggers and actions in Power Automate that are used in finance and operations apps.
    • Connect to your finance and operations apps data with Power Apps.
    • Learn about the Common Data Model to bring data from multiple systems and applications together.

Syllabus

  • Explore data integration concepts in finance and operations apps
    • Introduction
    • Data integration overview
    • Synchronous integration
    • Asynchronous integration
    • Check your knowledge
    • Summary
  • Work with synchronous integrations in finance and operations apps
    • Introduction
    • Develop an entity and enable it for data export
    • Extend a data entity
    • Implement custom services
    • Implement custom services and the Batch OData API
    • Expose OData endpoints from data entities
    • Consume external web services
    • 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
    • Check your knowledge
    • Summary
  • Implement the Data management package API for finance and operations apps
    • Introduction
    • 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#
    • Check your knowledge
    • Summary
  • Work with asynchronous integrations in finance and operations apps
    • Introduction
    • 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 by using virtual entities
    • Work with composite data entities
    • Azure Data Lake and Entity Store
    • Connect to Azure Data Lake Storage
    • Change data in Azure Data Lake
    • Power Platform convergence
    • Check your knowledge
    • Summary
  • Prepare data for migration to finance and operations apps
    • Introduction
    • Select a data integration (import/export) strategy
    • Common migration scenarios and tools
    • Bring your own database (BYOD)
    • Test a data migration and validate output
    • Check your knowledge
    • Summary
  • Manage data sources with external data stores in finance and operations apps
    • Introduction
    • Identify report data source requirements for external sources
    • Differentiate among report data stores
    • Create and manage custom data sources
    • Optimize data entities to achieve better performance
    • Lab - Create a data entity
    • Check your knowledge
    • Summary
  • Integrate finance and operations apps with Microsoft Azure
    • 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
    • Check your knowledge
    • Summary
  • Connect to Microsoft Power Platform services with finance and operations apps
    • Connect your finance and operations apps data using Power Automate
    • Triggers and actions used in Power Automate for finance and operations apps
    • Connect to your finance and operations apps data with Power Apps
    • Finance and operations data on Common Data Model and Microsoft Dataverse
    • Check your knowledge
    • Summary

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