Assisted mapping for standard dataflows
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
Enabled for | Public preview | General availability |
---|---|---|
Users, automatically | Oct 31, 2024 | Jan 2025 |
Business value
Ingest data into existing Microsoft Dataverse tables faster and with higher confidence by using the assisted mapping feature. The assisted mapping feature within standard dataflows uses AI to provide recommendations on which existing Dataverse table you should ingest your new data into. Once a table is selected, this feature also provides column mapping suggestions based on the semantic meaning of the column names and column data types. Lastly, it helps improve data quality by alerting the user to any column type mismatches prior to publishing the dataflow.
Feature details
This feature will update the current Load to existing table option within standard dataflows in Power Platform. It will provide general UI updates and functionality to recommend what existing Dataverse tables new data should be mapped to. Once a target Dataverse table is selected, this feature will also provide recommendations for how the columns should be mapped and alert users to any type mismatches.
Geographic areas
This feature will be released into the following Microsoft Azure geographic areas:
- Germany
- Norway
- Singapore
- South Africa
- Switzerland
- United Arab Emirates
- United States
- Europe
- Asia Pacific
- United Kingdom
- Australia
- Canada
- India
- Japan
- France
- Korea
See also
Load to existing table (docs)