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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 by admins, makers, or analysts | May 2026 | Jun 2026 |
Business value
Customers with existing data pipelines or data products in data mesh mostly want to stick to normalized, efficient forms such as star schema. Power Automate Process Mining currently requires you to transform the event log into a single-table form, where attributes with small cardinality are duplicated. Support for star schema reduces storage volumes and speeds up ingestion performance.
Feature details
Most systems of record have data stored in data structures that allow you to easily extract information about the analyzed entity (case-level data) and historical changes on those entities (event-level data). The attributes are also stored in a normalized form. The single-table approach to event log creation requires you to do inefficient transformations. With this feature, Power Automate Process Mining supports the case-event entity-based data structure plus a normalized form of attributes. This speeds up the ingestion process in both the transformation and import to process model phases and reduces the storage capacity needed.
Geographic areas
Visit the Explore Feature Geography report for Microsoft Azure areas where this feature is planned or available.
Language availability
Visit the Explore Feature Language report for information on this feature's availability.