Utilizing Databricks' notebooks facilitates swift R&D cycles in the creation of analytics applications. However, relying solely on notebooks may overlook the robust features and structure offered by ...
This project demonstrates a complete workflow for developing, packaging, and deploying Python applications to Databricks: Uses Databricks environment specifications (Environment 4.0) to manage ...
utilize argparse package to build a flexible command line interface to start the jobs. utilize Databricks Declarative Automation Bundles to package/deploy/run a Python wheel package on Databricks.
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