Anonymous

My feedback

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    0 comments  ·  (General Feedback) » Other  ·  Flag idea as inappropriate…  ·  Admin →
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    5 comments  ·  Networking » Azure Front Door Service  ·  Flag idea as inappropriate…  ·  Admin →

    Thanks for the valid suggestion. Your feedback is now open for the user community to upvote which allows us to effectively prioritize your request against our existing feature list and also gives us insight into the potential impact of implementing the suggested feature

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  3. 7 votes
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    1 comment  ·  (General Feedback)  ·  Flag idea as inappropriate…  ·  Admin →
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    50 comments  ·  HDInsight » Platform  ·  Flag idea as inappropriate…  ·  Admin →

    [Update] Thanks for your continued feedback on this capability! Rest assured that we are tracking this request closely along with several other platform capabilities our customers have requested. In the meanwhile, you can leverage cluster scaling capability to adjust HDInsight cluster size according to your varying compute needs. Azure Data Factory is another option you can explore for scheduling jobs with automatic creation and deletion of clusters: https://azure.microsoft.com/en-us/documentation/articles/data-factory-data-transformation-activities/

    Adnan Ijaz
    Program Manager
    Microsoft Azure HDInsight

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    Anonymous commented  · 

    +3 votes for this

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  5. 137 votes
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    6 comments  ·  HDInsight » Platform  ·  Flag idea as inappropriate…  ·  Admin →

    Thanks, This is a common ask from our customers and something we are seriously thinking about. In the meantime you can use Azure Data Factory to “delete” the cluster and you can use persistent metastore using Azure SQL and persistent store like Azure Data Lake Store or Azure Blob which will make it seem like it is “shut down”. Thanks for your feedback. Rashim Gupta (HDInsight Engineering team)

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