on
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It would be great to have this feature. Some institutions, e.g., government, are still using shared network drives.
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Hello Dirk,Thank you for response. i had case with same thing on sales side. However i solved it with workaround setup.
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Please make an update to the current state! The Relativ Date Slicer is not helpfull at all. Everytime a new month has started, it needs to change the current month to the actual month - not the workaround with "current month" as the name.Thank you.
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There's a REST API that you can use to pause or resume a capacity.You can put this in an ADF pipeline, a Logic App, a Github action, an Azure Function, you name it.Anything that can be scheduled and that can call a REST API (and authenticate against Azure) can be used to stop/resume a Fabric capacity.A solution with ADF is described here:https://www.mssqltips.com/sqlservertip/7774/save-money-microsoft-fabric-pause-start-capacity/
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As pasting code is not really possible here, I pasted the example here:https://pastebin.com/PAsinbC1
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I agree.we must have a real time and a per activity (in the monitoring hub) the CU consumed.and also the estimated burn down
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Screen cannot be enlarged. With long file names you still see nothing now.Very disappointing.
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One way to set this up is by tracking which links are being used in dashboards, scorecards, etc. and preventing said links from ever expiring, as long as they are set in said scorecards, dashboards, etc.
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You can use the following code to do so:import requestsimport jsonfrom notebookutils import mssparkutilsworkspace_id = spark.conf.get("trident.workspace.id")lakehouse_item_id = mssparkutils.lakehouse.list()[0]["id"]payload = { "name": "customers", "path": "Tables", "target": { "oneLake": { "itemId": lakehouse_item_id, "path": "Files/cmk-container/silver/customers", "workspaceId": workspace_id } }}token = mssparkutils.credentials.getToken('pbi')headers = { 'Authorization': f'Bearer {token}', 'Content-type': 'application/json'}url = f"https://api.fabric.microsoft.com/v1/workspaces/{workspace_id}/items/{lakehouse_item_id}/shortcuts"print(url)print(json.dumps(payload))response = requests.post(url, data=json.dumps(payload), headers=headers)