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https://issues.apache.org/jira/browse/DATALAB-2902?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Vira Vitanska updated DATALAB-2902:
-----------------------------------
    Description: 
As a user I want to use HDInsight (Data Engine Service) on Azure in DataLab, so 
that I can simplify running big data frameworks.
----
[[Compute Engine] Feature: New Compute Engine - Azure HDInsight - EPMA-DPAF - 
EPAM Knowledge 
Base|https://kb.epam.com/display/EPMADPAF/%5BCompute+Engine%5D+Feature%3A+New+Compute+Engine+-+Azure+HDInsight]
As a user I want to terminate HDInsight via scheduler :
!image-2022-07-15-17-07-23-868.png!

The same functionality we have implemented for EMR/Dataproc

  was:
As a user I want to use HDInsight (Data Engine Service) on Azure in DataLab, so 
that I can simplify running big data frameworks.
----
[[Compute Engine] Feature: New Compute Engine - Azure HDInsight - EPMA-DPAF - 
EPAM Knowledge 
Base|https://kb.epam.com/display/EPMADPAF/%5BCompute+Engine%5D+Feature%3A+New+Compute+Engine+-+Azure+HDInsight]


> [Front-end] Add scheduler to HDInsight on Azure
> -----------------------------------------------
>
>                 Key: DATALAB-2902
>                 URL: https://issues.apache.org/jira/browse/DATALAB-2902
>             Project: Apache DataLab
>          Issue Type: Task
>          Components: DataLab Main
>            Reporter: Ruslan Kulynych
>            Assignee: Hennadii Shpak
>            Priority: Minor
>              Labels: AZURE, Debian, Front-end, Github_issue, RedHat
>         Attachments: image-2022-07-15-17-07-23-868.png
>
>
> As a user I want to use HDInsight (Data Engine Service) on Azure in DataLab, 
> so that I can simplify running big data frameworks.
> ----
> [[Compute Engine] Feature: New Compute Engine - Azure HDInsight - EPMA-DPAF - 
> EPAM Knowledge 
> Base|https://kb.epam.com/display/EPMADPAF/%5BCompute+Engine%5D+Feature%3A+New+Compute+Engine+-+Azure+HDInsight]
> As a user I want to terminate HDInsight via scheduler :
> !image-2022-07-15-17-07-23-868.png!
> The same functionality we have implemented for EMR/Dataproc



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