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Are you limited to use only these two resources

If you are allowed to use a storage account, you can copy a sample file using adf pipeline to storage account container from which you can use storage event trigger on synapse pipeline From this approach, you can avoid the possibility of hardcoding any secrets or bearer tokens in the web activity If you need to, i can provide this as an answer. Currently, synapse notebook activity only supports string, int, float and bool types

To pass the array variable from the pipeline, pass it as string and convert it into array in the python code using eval() function Pass the variable with expression @string(<variable_name>) For sample, i have passed it like below. I am brand new to azure

I have created a data lake gen2 storage account and a container inside it and saved some files and folders in it.i want to list all the files and folders in azure synapse

Exporting artifacts arm template for a azure synapse workspace you're on point because while you're using azure synapse in live mode we can't export a full arm template that includes artifacts like pipelines, datasets, notebooks, and data flows. So i open and played the synapse notebook Server failed to authenticate the request When i run a pipeline, it dies down at the.

Instead synapse only allows authentication via the linkedservices or the service principle This explains why i can access the adls with abfs from my local pycharm, but not from within a synapse notebook. I will give some context regarding our inconvenience in azure synapse We created a stored procedure (it creates a view which reads all the parquet files in a certain folder) on a develop script,.

# create new delta table with new data sdf.write.format('delta').save(delta_table_path) but now i want to use a different synapse notebook with spark sql to read that delte table (incl history) that is stored in my data lake gen

I tried the createorreplacetempview option but that is not allowing me to see the history

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