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I need to delete/insert/update records from the advdotp.mart table based on the data provided in a spark dataframe I need a script that will save a copy of the xlsm file with xlsx extension, but doesn't ask user to input file name, it needs to keep the original n. The table is actively used in production, and i want to ensure the delete operations are efficient and do not significantly impact performance
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Although i am creating delta (compare) of the table from another table. How can i change the format from xlsm to xlsx Is it possible to connect excel to the data warehouse or lakehouse within microsoft fabric
Like using get data or something like that ?
Dbfs or databricks file system is the legacy way to interact with files in databricks In community or free edition you only have access to serverless compute In this serverless compute, access to legacy directory such as filestore is not allowed Yes i am aware that some youtube tutorial uses this but you are on serverless environment and that makes things work a little bit differently
In my loop, i run a dbt command and save the output to a.yml file The following command works and generates a schema in my.yml file accurately I have written a python script that loops through the file system and lists all of the erwin files that i find I then process these files in some fashion and save the results
I'm now trying to do.
I am working on a design for an hr data mart using the kimball approach outlined in 'the data warehouse toolkit' 2 in case if you want to have.npmrc file at project level in the root directory of your project, create.npmrc file In the.npmrc file, add key=value save and close the file.
