Azure Databricks has good integration options with Azure Data Factory. From calling notebooks, to libraries. But when it comes to getting a value, or a table from Databricks, I found myself going back to spark dataset based lookups which has it’s own limitations on the queries we can write to…


Databricks provides a great environment for ad-hoc and interactive usage of data. However, setting up a local environment for one’s testing can be quite a task. The below post is intended to help setup a working local environment for development and testing of python libraries for databricks remotely using databricks-connect.

Rachit Daga

Tech Enthusiast, Software Engineer @Google, Ex-Microsoft

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