Dataverse Security: It offers built-in security for the platform level. Dataverse has updated the security considering the business usage versus discreet data access. It helped to transform the dataverse security more straightforward for configuring a robust security profile for applications.
Dataverse Logic: Dataverse offers a series of configurable logic engines necessary for building applications. Classic Workflows is a fully configurable workflow engine that enhances the performance of many synchronous and asynchronous series of steps. Additionally, business rules, business process flow, and fully featured SDK and custom plug-ins written in .NET allow implementing advanced logic.
Dataverse Data: Storing data is one of the many functions of Microsoft Dataverse. The Dataverse gives a whole meaning and relativity to the Excel spreadsheet. The ready-to-use tables provided by the Common Data Model and developed following industry standards offer enough scope for customization. Besides, users can store unstructured data such as file attachments in Dataverse. Microsoft Dataverse stores the data in a combination of Azure SQL and Azure Blob storage.
Dataverse Integration: Virtual entities or connectors help integrate or view data with Dataverse. One out-of-the-box feature of Dataverse is to populate Microsoft Word templates, integrate with Microsoft Excel, and send and receive communication with Microsoft Exchange. Additionally, it works with Outlook and helps export to Excel and Outlook Integration.
Dataverse for Teams: Microsoft Teams license holders can now build Power Apps, Automate flows, and Power Virtual Agent Chatbots directly within the context of Teams. Even if users do not have Dynamics 365 or Power Platform licenses, they can use it for small-scale automation tasks, segregating business intelligence data with Power BI, building AI or creating virtual agents.
