Table of contents
1.
Introduction
2.
Why choose Microsoft Dataverse?
3.
Work with any data                            
3.1.
Common Data Model
3.2.
Tables
3.3.
Columns
3.4.
Relationships
4.
Work with any app
4.1.
Security
4.2.
Compliance
4.3.
Availability and scalability
4.4.
Analytics and reporting
4.5.
Microsoft Power Platform requests
4.6.
Entitlement limits
4.7.
Service protection limits
4.8.
Capacity add-ons
4.9.
Backups
4.10.
System backups
4.11.
Manual backups
4.12.
Datacenter regions
5.
Frequently Asked Questions
5.1.
What could be the most practical method to use a PowerApps app in an office setting?
5.2.
What are the different sorts of variables used in PowerApps?
5.3.
Explain Security Roles
6.
Conclusion
Last Updated: Mar 27, 2024

Why to choose Microsoft Dataverse

Author ANJU JAISWAL
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Introduction

Microsoft Dataverse has a good sound; it is a catchy term that you will remember - but what is it? In fact, and to simplify, Microsoft Dataverse is a database hosted in Microsoft Dynamics 365.

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It provides cloud-based storage for your data using Microsoft Dynamics 365. It has standard and custom tables that let you store the data - and is organized in columns, tables, and rows. You can organize your data so you can use it in any Microsoft Power App you may want to create.

Why choose Microsoft Dataverse?

  • Building out the data architecture needed to allow business insight might take time and money.
  • With a SaaS data service that is simple to use, simple to manage, compliant, secure, scalable, and accessible from anywhere in the world, Dataverse allays these worries.
  • Enterprises with Dataverse can use any data and app to acquire insights and motivate corporate action.
  • Dataverse can be utilized by anyone, from knowledge workers to expert developers, as it is a component of the Microsoft Power Platform and requires little to no coding.
  • Organizations choosing Dataverse can be sure that it is globally available, compliant, scalable, and secure because it is based on Azure.

Work with any data                            

Working with relational, non-relational, image, file, relative search, and data lakes are all possible because of Microsoft Dataverse abstraction. Since Microsoft Dataverse presents a variety of data types that let you construct your model, there is no need to comprehend the type of data.

The chosen data type is best suited to the storage type. The Data Export Service is also available to Dynamics clients.

Along with the hundreds of other connectors in those services for on-premises, infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS) services, Dataverse also provides a connector for Power Automate and Azure Logic Apps.

Common Data Model

By giving business and analytical apps a common data language to work with, Common Data Model offers reference architecture designed to speed up this process.

Thanks to the Common Data Model metadata system, data, and its meaning may be exchanged between different business processes and applications, including Power Apps, Power BI, Dynamics 365, and Azure.

                             

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Microsoft and its partners have produced a set of standardized, extendable data schemas under the Common Data Model. Tables, attributes, semantic metadata, and relationships are all part of this set of predefined schemas. The Common Data Model schemas can guide the construction of tables in Dataverse.

Some of the standard Common Data Model tables are depicted in the following graphic.

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Tables

Tables are used in Dataverse to manage and model business data. Dataverse contains a collection of tables known as standard tables to boost productivity. The standard tables follow Common Data Model.

The term "standard tables" refers to a group of tables found in Dataverse that are often used in various industries, including User and Team.

Additionally, Dataverse makes it simple to make your unique tables.

     

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Columns

Individual data pieces that can be utilized to store data in a table are defined by columns. Different sorts of data, including numeric data, texts, digital data, photographs, and files, may be contained in columns.

The data is stored in Dataverse using the optimum storage option for the developed model.

Each of these columns can be connected to one of the numerous data types that Dataverse supports.

         

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Relationships

In the Dataverse paradigm, table relationships specify how rows might be related to one another.

To establish the many linkages between tables, Dataverse offers simple visual designers (or between a table and itself).

 

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Work with any app

Using Dataverse with Power Apps can help a company generate new apps even more efficiently. Companies that use Power Apps can create iOS and Android mobile apps quickly.

Dataverse offers a robust REST-based API, a developer SDK, and an expanding library of samples for typical scenarios for businesses looking to integrate Dataverse data into already-existing apps or create new apps using custom code.

Bots can be swiftly created utilizing Power Virtual Agents and Dataverse data, whether they are incorporated within Power Apps or custom code.

             

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Dataverse should be compatible with knowledge workers' and professional developers' tools since its objective is to function with any app.

Security

A set of privileges is grouped by Dataverse using role-based security. Dataverse offers a column-level security capability to provide more granular security management at the column level because row-level access control is insufficient for some business scenarios. The manager and position hierarchies are two additional security models that can be utilized for hierarchies in Dataverse.

Compliance

Organizations' top issue is compliance. Organizations may be confident that the data stored in Dataverse is in line with strict industry standards since Microsoft frequently interacts with dozens of regulators worldwide. Dataverse complies with several standards, and third-party audits and certifications are used to confirm compliance.

Availability and scalability

Dataverse delivers a service level agreement of 99.9% uptime and is built to fulfill enterprise-level scaling requirements. Licenses set entitlement limitations on how many requests users may make daily to assure service levels, availability, and quality.

Analytics and reporting

Analytics and reporting can be utilized with Dataverse to generate insights and motivate company action. Key decision-makers can receive data and insight in several ways, thanks to Dataverse.

Analytics and reporting features with Dataverse.

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Six pre-built AI models are included in AI Builder, a component of Microsoft Power Platform. They may be used in Power Automate, Power Apps, and to analyze data in Dataverse.

Dataverse offers a managed data lake to assist advanced analytics and machine learning.

Dataverse with Azure services.

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One advantage of having the data in Azure Data Lake is that businesses can use Azure Synapse Analytics.

Microsoft Power Platform requests

Requests on the Microsoft Power Platform are activities that users take on various products. The following are general requests for the Microsoft Power Platform: All API queries from Power Apps or Power Automate to connectors.

Entitlement limits

The maximum number of requests users can make each day is represented by entitlement limitations. See Capacity add-ons for details on how to view and distribute them.

Service protection limits

Service protection limitations are in place to safeguard the overall well-being of the service. See Dataverse API request limits for details on each service's current protection limits. Applicable to connections from Power Apps and Power Automate to Dataverse and Dynamics 365 Customer Engagement apps like Dynamics 365 Sales and Dynamics 365 Customer Service.

Capacity add-ons

A user's license determines the precise amount of Microsoft Power Platform requests permitted throughout 24 hours. The number of requests submitted about the number permitted by Dataverse's current license will be compared by entitlement limits.

Backups

Automatic backups, often known as system backups, and manual backups, are both offered by Dataverse.

System backups

System backups back up all environments. System backups for production setups with a database and one or more Dynamics 365 applications are kept for 28 days.

Manual backups

Manual backups are possible for both sandbox and production settings. The number of manual backups that can be created is unlimited, and manual backups do not count against storage restrictions.

Datacenter regions

Because so many firms conduct business internationally, so are their data demands. Thanks to its global deployment and support, organizations can feel secure knowing that Dataverse is accessible when and where they need it.

Frequently Asked Questions

What could be the most practical method to use a PowerApps app in an office setting?

Adding the app to Teams can help increase accessibility.

What are the different sorts of variables used in PowerApps?

Global variables and Context variables are used in PowerApps.

Explain Security Roles

Security Roles in Power Platform define authorization levels for specific users or teams. For every security role, you must configure the privileges and access levels.

Conclusion

This article has explained why to choose the Microsoft dataverse in-depth and how it works with any data and application, considering various security issues, compliance, and backups.

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