Metrics are discoverable through

TG Data Set: A collection for training AI models.
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Metrics are discoverable through

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Curated Metric Collection: Metric sets act as a collection of key indicators, providing semantic models and essential dimensions so that both end users and authors clearly understand how to group or use each metric.
Rich consumption experiences: Users can explore and consume metrics directly from the datasets, gaining deep insights and deep understandings. With the help of Copilot summaries and various visuals, users can transform data into actionable information in seconds.
Improved efficiency: Consumers are no longer dependent on report creators to answer questions or create custom reports. They can use the Explore dialog to drill down into specific metrics in an environment where everything “just works” thanks to precise dimension selection.
Discovery and reuse:
Consumers: search, and metric sets can be promoted south africa telegram data endorsed, and certified like any other artifact, building trust among users. The Explore dialog allows for safe drilling into metrics.
Authors: In the November desktop release, metric sets are available to connect to and use in reports. Authors can access metrics through the Data Catalog or the OneLake Data Hub, ensuring their reports use the most up-to-date and authoritative measures.




Announcing performance improvements for models with calculation groups and format strings in Excel
This month, significant improvements have been made to MDX query performance, especially for models containing calculation groups and format strings.

These updates are designed to improve both the performance and reliability of Analyze in Excel operations for models including:
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