53. Workspace packages for Apache Spark Pool in Azure Synapse Analytics

[@azurecontentannu6399]

Wonderful explanation. Thank you so much 😊

[@WafaStudies]

Thank you 😊

[@prakashmccullum958]

Nice playlist to get used to synapse features after ADF and databricks, thanks maheer

[@dibyasutar4256]

When you post videos on azure storage account?

[@rahulkhankar]

Will this method work for DEP enabled workspaces also.?

[@Umerkhange]

The resource is being provisioned. and after ten minutes "Failed to apply package settings to sparkpool2 (Apache Spark pool)." The access token expiry UTC time '8/2/2023 8:58:21 PM' is earlier than current UTC time '8/2/2023 8:58:38 PM'. ???? What the hack is that?

[@kobraalizadeh884]

Thanks Maheer! Great videos! I have two questions: 1. After uploading and attaching the custom package to a pool, are able to modify it? For example add to its functions? 2. What is the advantage of creating a package for your custom functions compared to putting all your functions in a separate notebook (let's call it config) and then import that config notebook in your other notebooks using %%run ?

[@MrShravan46]

Hi Brother , Thanks for making it simple to understand, great video's on synapse. is there a way to reduce the apply setting's time to SparkPool usually for me it is taking 15mins to apply wheel file? playing with wheeling is time consuming now since minor code change has to go through this process again.

[@tapas0001]

Nice explanation Bro...Can you do a CI/CD video for Synapse (both spark pool and sql pool)

[@WafaStudies]

Will try to do soon