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- Printing secret value in Databricks - Stack Overflow
2 Building on @camo's answer, since you're looking to use the secret value outside Databricks, you can use the Databricks Python SDK to fetch the bytes representation of the secret value, then decode and print locally (or on any compute resource outside of Databricks)
- Is there a way to use parameters in Databricks in SQL with parameter . . .
EDIT: I got a message from Databricks' employee that currently (DBR 15 4 LTS) the parameter marker syntax is not supported in this scenario It might work in the future versions Original question:
- Databricks: managed tables vs. external tables - Stack Overflow
While Databricks manages the metadata for external tables, the actual data remains in the specified external location, providing flexibility and control over the data storage lifecycle This setup allows users to leverage existing data storage infrastructure while utilizing Databricks' processing capabilities
- Databricks shared access mode limitations - Stack Overflow
You're correct about listed limitations But when you're using Unity Catalog, especially with shared clusters, you need to think a bit differently than before UC + shared clusters provide very good users isolation, not allowing to access data without necessary access control (DBFS doesn't have access control at all, and ADLS provides access control only on the file level) You will need to
- Databricks Permissions Required to Create a Cluster
In Azure Databricks, if you want to create a cluster, you need to have the " " permission This permission basically lets you handle everything related to clusters, like making new ones and controlling existing ones Now, within this system, having the " " permission means you have more power than those with just " " or " " permissions
- REST API to query Databricks table - Stack Overflow
Is databricks designed for such use cases or is a better approach to copy this table (gold layer) in an operational database such as azure sql db after the transformations are done in pyspark via databricks? What are the cons of this approach? One would be the databricks cluster should be up and running all time i e use interactive cluster
- Databricks: How do I get path of current notebook?
Databricks is smart and all, but how do you identify the path of your current notebook? The guide on the website does not help It suggests: %scala dbutils notebook getContext notebookPath res1:
- Databricks - Download a dbfs: FileStore file to my Local Machine
Method3: Using third-party tool named DBFS Explorer DBFS Explorer was created as a quick way to upload and download files to the Databricks filesystem (DBFS) This will work with both AWS and Azure instances of Databricks You will need to create a bearer token in the web interface in order to connect
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