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karo
Advocate V
Advocate V

How to read Burndown table for timerange in Fabric Capacity Metrics App?

Hi,

 

Can someone explain what the shorcuts (AS, CDSA, DI, DMS,  ML etc.) means in Burndown table for timerange on TimePoint Detail in Fabric Capacity Metrics App, please? And give examples of operations/activities for each of them?

 

karo_0-1724135568136.png

 

Regards,

Karo

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @karo 

Here are the meanings of the shortcuts in the Burndown table for the timerange on the TimePoint Detail in the Fabric Capacity Metrics App, along with examples of operations or activities for each:

  1. AS (Analysis Services):

    • Query processing, data model refreshes, and running DAX queries.
  2. CDSA (Common Data Service Analytics):

    • Data integration tasks, data transformation processes, and analytics operations within the Common Data Service.
  3. DI (Data Integration):

    • Data import/export operations, ETL (Extract, Transform, Load) processes, and data synchronization tasks.
  4. DMS (Data Management Services):

  5. ML (Machine Learning):

    • Training machine learning models, running inference tasks, and performing data preprocessing for ML workflows.

 

 

 

 

Best Regards,

Jayleny

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @karo 

Here are the meanings of the shortcuts in the Burndown table for the timerange on the TimePoint Detail in the Fabric Capacity Metrics App, along with examples of operations or activities for each:

  1. AS (Analysis Services):

    • Query processing, data model refreshes, and running DAX queries.
  2. CDSA (Common Data Service Analytics):

    • Data integration tasks, data transformation processes, and analytics operations within the Common Data Service.
  3. DI (Data Integration):

    • Data import/export operations, ETL (Extract, Transform, Load) processes, and data synchronization tasks.
  4. DMS (Data Management Services):

  5. ML (Machine Learning):

    • Training machine learning models, running inference tasks, and performing data preprocessing for ML workflows.

 

 

 

 

Best Regards,

Jayleny

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Thank you @Anonymous  ! 

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