Features of Dataverse
1) Security
Dataverse uses Microsoft Azure’s Active Directory(AD) to ensure authenticated access and regulates data security by imposing multi-factor authentication(MFA). Azure AD allows for authentication down to the minutest blocks of the instance (rows and columns) to ensure purely authentic access to data. Auditing capabilities are also provided by Microsoft Dataverse.
2) Logic
Dataverse allows consumers to integrate logical inputs to their business data for directional processing. These logical rules are consistent for every purpose, ranging from redundancy detection to workflow automation.
3) Data
Dataverse is a platform that offers optimum data flexibility and scalability to model to validate business data. This allows data maximum portability and flexibility. In simpler words, this means that it can be modeled as per the wishes of the user.
4) Storage
Dataverse provides Azure’s fully-scalable storage facilities to the clients. This means that storage is fully-managed from the cloud end and users don’t need to be concerned about outages. Azure’s in-built services help moderate the cloud-spend to provide customized services.
5) Integration
Dataverse ensures interconnectivity with multiple interdisciplinary services that would help improve the quality of data and enable resilient data handling and management. APIs, eventing, and web-hooks help support business data.
What is Microsoft Dataverse?
Microsoft Dataverse is a cloud-based, low-code data platform for deploying business logic to data pipelines. Dataverse offers immense scalability with state-of-the-art security and networking features. It provides flexible solutions for data and business-related problems and is designed to be the prime data repository for business-oriented data. A wealth of Microsoft’s solutions like Microsoft Dynamics 365, Power Automate, and Microsoft Azure support connectivity and congenial compliance with Dataverse.