Plan and prepare for Microsoft Dataverse in 2022 release wave 2
The 2022 release wave 2 plan covers all new functionalities planned to be delivered to market from October 2022 to March 2023. In this article, you'll find the product overview and what's new and planned for Microsoft Dataverse.
Microsoft Dataverse is a low-code data platform that allows you to easily build scalable and interconnected applications, automations, and agents using common data, security, and business logic.
Deliver services with agility
Quickly add business value with an extensible data platform that uses out-of-the-box common tables, extended attributes, semantic meanings, and an open ecosystem enabled by Common Data Model.
Increase scale and efficiency
Boost productivity and reduce costs by quickly developing applications, processes, and reusable data schemes. Repeatably build, validate, and deploy your applications using GitHub and Azure DevOps.
Make your data work smarter
Get accurate insights by adding low-code AI tools to your process automation. Identify and resolve duplicated and conflicting data with a managed data platform that includes built-in business logic and rules.
Rely on the security of a trusted platform
Protect your data with a robust security management infrastructure that provides critical security and compliance capabilities—advanced encryption, rich access control, and deep integration with Azure Active Directory.
Bridge Microsoft Power Platform to Azure data
Customers have asked for a single, end-to-end way to work with data in Microsoft Dataverse, including running AI and machine learning, integrating with external datasets, and slicing and dicing large volumes of Dataverse data. Now, instead of using multiple tools to get the job done, you can accelerate time-to-insight with a single comprehensive solution: Azure Synapse Link for Dataverse. This solution can help you deliver on your end-to-end goals and is already built in and available out of the box.
Azure Synapse Link for Dataverse enables seamless Dataverse integration with Azure Synapse Analytics to empower users to analyze data in the lake. With just a few clicks, you can bring your Microsoft Dataverse data to Azure Synapse Analytics and visualize data in your Azure Synapse workspace. You can also quickly start processing the data to discover insights using advanced analytics capabilities for serverless data lake exploration, code-free data integration, data flows for extract, transform, load (ETL) pipelines, and optimized Apache Spark for big data analytics.
Enterprise customers can now use the familiarity of T-SQL to analyze big data and gain insights while optimizing their data transformation pipeline to leverage the deep integration of Azure Synapse with other Azure services such as Power BI Embedded, Azure Cosmos DB, and Azure Machine Learning.
Data modeling defines the tables, columns, data types, relationships, and metadata that are used as the foundation of your Dataverse data.
- Tables and columns provide the physical structure where the data is stored.
- Data types define what type of data is stored in a specific column.
- Relationships define how your tables and columns interact with other tables and columns in your environment.
- Metadata defines the behavior of tables, columns, relationships, and data types.
Microsoft 365 collaboration
Microsoft Dataverse powers many collaboration capabilities, including integrations with different Microsoft 365 products, such as Microsoft Exchange, Outlook, and Teams. Whether you are sending/receiving emails, creating/joining Teams meetings, or linking Teams chats to records, Dataverse enables users to collaborate with colleagues across your company without needing to switch between applications.
Microsoft Dataverse is an extensible data source. Customers can create custom logic, tables, forms, applications, .NET plugin assemblies, and so on to either extend the existing capabilities or create new capabilities that cater to their business needs. Low-code extensibility in Dataverse takes extensibility to fusion development teams, thereby making extensibility an easy-to-use experience.
Virtual tables allow Microsoft Dataverse to surface data stored outside of the Dataverse relational storage for use in Power Platform. Data accessed through a virtual table looks and acts like a native Dataverse table. For example, your SQL Server data can be accessed through Dataverse tables, using Dataverse APIs and plugins and can have relationships to your native Dataverse tables like accounts, contacts, or other custom tables you create.
Virtual tables can be used to connect to tabular data (SQL, Excel, SharePoint), non-tabular data (data lake, Azure Cosmos DB, SAP), data accessed through direct OData calls, or custom connections that users can craft to meet their needs.
Authentication is the foundation for security, compliance, and resiliency of Microsoft Dataverse. This area is primarily focused on these key objectives:
- Improve overall security and resiliency of Dataverse.
- Enforce compliance adhering to industry standards.
- Enable first and third-party apps integrations using a set of secure authentication protocols.
- Deprecate/retire the legacy and less secure authentication protocols.
Microsoft Power Platform depends on APIs exposed by Microsoft Dataverse. Canvas apps, model-driven apps, and Microsoft Power Automate depend on Dataverse APIs. ISVs and customers use our APIs to create integrations and custom applications. Dataverse APIs provide capabilities to work with business data in your Microsoft Dataverse tables and perform specialized operations on that data.
Dataverse infrastructure features
Microsoft Dataverse is the default data platform for all Microsoft Power Platform and Dynamics 365 applications. Microsoft Dataverse runs on planet-scale infrastructure, which ensures availability, reliability, and the highest level of security and compliance for customer data.
Business events and data events along with virtual tables provide the shared data layer for convergence of complementary technologies that are intended to work together. In 2022 release wave 2, we'll continue to grow the Microsoft Dataverse event platform capabilities by enhancing the performance, reliability, and scale of the event framework.
We'll also build on the event framework, enabling business process mining through an event analytics model. The model will provide a persisted, sequential series of events on which process mining applications, like process advisor in Power Automate, can provide rich process analytics.
To learn more about the entire set of capabilities being delivered during this release wave, check out the release plan for Microsoft Dataverse below:
For application administrators
User-impacting features to the user experience enabled automatically
User-impacting features should be reviewed by application administrators. This facilitates release change management and enables successful onboarding of new capabilities released to market. For the complete list, look for all features tagged "Users, automatically" in the release plan.
Features that must be enabled by application administrators
This release wave contains features that must be enabled or configured by administrators, makers, or business analysts to be available for their users. For the complete list, look for all features tagged "Users by admins, makers, or analysts" in the release plan.