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I Support this request. As a Consultant, my main focus are companies with manufacturing processes and everyone uses subcontracting and everyone needs the possibilty to provide additional items for the subcontractor via Transfer Orders.This is no niche function, but basic needs for most producing companies. And while you're at it... it is also commonly needed to transfer the non finished product to the subcontractor. In reality, the non finished production item is running through warehouse processes like Warehouse Shipments and once it returns from the subcontractor, it is received with a Warehouse Receive for example.Again, this is daily business for most companies who work with subcontractors and they cannot handle this process in BC without any extensions.
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Thank you sharing this. For spark workloads I have included this to my list for the upcoming semester to make the burst factor configurable.
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This is a much needed feature. Please PLEASE PLEASE add this.
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Please make the export button visible. Thank you
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Allowing a contact to decline ensures we can stop any future sends regarding the event to this individual. It also shows engagement with our email even if they can't attend. There is value in knowing this.
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Hi everyone! Is there an update about this request? It would be really a game changer to add validation to end user fields nowadays.
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This is a very helpful feature, problem that we are facing right now is to shift from excel to pbi and there's a lot of excel features that power bi can do. This definitely one of it. Another is freezing columns in table.
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This feature has already been discussed and requested by others in the community forum:https://community.fabric.microsoft.com/t5/Service/Get-datasets-size-in-a-tenant-programmatically/m-p/1188941#M100894
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Can't wait for this to be certified! The BI Book Power BI connector provides a convenient way to access all your BI Book integrations' data and files using a single Power BI data source and connection.
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totally agree!it would be great to have Spark Connect (https://spark.apache.org/docs/latest/spark-connect-overview.html) work with Fabric so you could leverage Fabric Spark compute capacity from everywhere and from every IDE of your choice