check before: 2026-03-31
Product:
Microsoft Dataverse
Platform:
Developer, Online, World tenant
Status:
Change type:
New feature
Links:
Details:
We are announcing the ability to build your agentic flows with Dataverse SDK for Python in Microsoft Dataverse. This feature will reach general availability on March 31, 2026.
Change Category:
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Scope:
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Release Phase:
Created:
2026-01-01
updated:
2026-01-01
Task Type
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Docu to Check
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MS How does it affect me
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MS Preperations
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summary for non-techies**
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Direct effects for Operations**
Integration Issues
Without proper preparation, integrating the new SDK could lead to compatibility issues with existing systems, causing disruptions in data workflows.
- roles: Data Scientists, Developers
- references: https://www.microsoft.com/en-us/microsoft-365/blog/2021/06/24/introducing-microsoft-dataverse/
User Experience Degradation
If the SDK is implemented without adequate training or documentation, users may face difficulties in utilizing new features, leading to frustration and decreased productivity.
- roles: End Users, Support Staff
- references: https://www.forbes.com/sites/bernardmarr/2021/05/10/the-importance-of-user-experience-in-software-development/?sh=5c1e1c1e7b3e
Configutation Options**
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Data Protection**
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IT Security**
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explanation for non-techies**
Microsoft Dataverse is introducing a new tool called the Dataverse SDK for Python, which will be available for everyone by March 31, 2026. This tool is designed to help data scientists and developers create intelligent workflows that can operate independently, much like how a self-driving car navigates roads without constant human input.
Think of the SDK as a toolkit that allows developers to build digital assistants or agents that can handle data tasks on their own. These agents can search through data, make updates, and even check the quality of the data, similar to how a personal assistant might manage your calendar, send emails, and ensure everything is organized.
The SDK for Python simplifies the process of working with data in Dataverse by offering easy-to-use functions for common tasks like creating, retrieving, updating, and deleting data. It's like having a universal remote that can control various devices, making it easier to manage different data operations without needing separate tools for each task.
Additionally, the SDK supports advanced features like form prediction and autofill, which can automatically complete forms based on previous data, much like how your smartphone suggests words as you type. It also includes support for collaboration between different agents, allowing them to work together seamlessly, similar to how team members might collaborate on a project.
For developers, the SDK is available on PyPI.org, a popular platform for Python packages, and it comes with open-source support, meaning they can customize and adapt it to fit their specific needs. This flexibility is akin to having a customizable toolkit where you can add or remove tools based on the job at hand.
Overall, the Dataverse SDK for Python is a powerful resource for building autonomous data agents that can enhance productivity and efficiency in managing enterprise data. For those interested in learning more, further information is available through the provided link.
** AI generated content. This information must be reviewed before use.
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