Databricks
Provides a FastAPI server to manage local files and orchestrate Databricks operations, including code submission, job management, and DLT pipeline creation.
About
The Databricks server acts as a powerful intermediary, bridging local development environments with the robust capabilities of Databricks. Built on FastAPI, it offers a comprehensive set of API endpoints for seamless interaction with your local file system, allowing for the creation and editing of folders and Python files. Simultaneously, it streamlines complex Databricks operations, enabling users to programmatically submit code, create and run jobs, and manage Delta Live Tables (DLT) pipelines. This server is particularly designed to enhance productivity by facilitating integration with AI-powered assistants, transforming conversational commands into direct actions within your Databricks workspace.
Key Features
- Retrieve job status and error information
- Create and run Databricks jobs
- 0 GitHub stars
- Submit Python code to Databricks clusters
- Manage local files (create folders, Python files, edit content)
- Provision and manage Delta Live Tables (DLT) pipelines
Use Cases
- Streamlining local file management alongside cloud-based data operations
- Integrating AI assistants for conversational control of data engineering tasks
- Automating complex Databricks workflows programmatically
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