Quick Overview about the options we have with Finance and Operations with Dataverse
Propose a flexible datamodel working with a property custom entity, tipized by other custom entity, plugin and alternate keys to create a datamodel able to add all type of custom tipized data without modify solution.
Office Script can be used to alter Excel files. In this session, you will learn what Office Script is and how it can be used in Power Automate.
In this session, we will take a look at fiddler and how it could be used to speed up your frontend development for Dataverse by injecting the local version of your web resources into your browser. This will eliminate the need of deploying them whenever you make changes during development.
In this session, you will learn how a basic ALM process for Dataverse looks like. The beginning of the presentation will level all of us to a common understanding, for example Deployment options in Dataverse. After the session, you will have a basic understanding of how to implement an ALM process for Dataverse in Azure DevOps using the PowerApps BuildTools.
Microsoft Dataverse provides an extensible framework that will allow developers to build highly customized and tailored experiences. While customizing, extending, or integrating with Dataverse, a developer should be aware of the established guidance and best practices. In this session, you will learn what best practices you should follow in your real time projects and will also provide guidance to customize the application in a certain way to avoid potential problems in the future. This can benefit the usability, supportability, and performance of your environment.
Betim Beja will be developing live a PCF component using Test Driven Development. We will use Jest to write the tests, and StorybookJs to write the stories to make sure our component is well tested and documented. All the tools that will be used are OpenSource.
A demonstration where we can combine Environment Variables + Dataverse Dependant Assemblies + Custom API + Unit Testing + Azure Application Insights (Telemetry) to make our customization more powerful!
Hi ! This is Jordi, the author of FakeXrmEasy, the leading Open Source test driven development framework for Dataverse with +2M downloads. In this session I’ll be covering an introduction about how we can leverage FakeXrmEasy to unit test azure functions as well as plugins to mitigate and prevent issues from happening in subsequent environments. Depending on time, we’ll be covering a sneak peak of how we can use Pipeline Simulation to debug and troubleshoot issues locally as well as a highlight of what’s new ! A hands-on session not to miss if you are a developer.
Explaining process of migrating Access tables and columns to Dataverse -creating and specifying a Dataverse environment -exporting data from Access to Dataverse -selecting tables and related tables -creating linked tables in Access to the migrated tables in Dataverse -managing primary keys, names, and relationships -validating the data export – previewing the results in Access and Dataverse.