Databricks REST API


               Databricks REST API

The Databricks REST API allows you to interact programmatically with your Databricks workspace. You can automate tasks, manage resources, and integrate Databricks with other systems.

Key features and use cases:

  • Manage clusters: Start, stop, resize, and configure clusters.
  • Work with notebooks: Create, update, run, and export notebooks.
  • Manage libraries: Install, uninstall, and manage libraries.
  • Schedule and run jobs: Submit, monitor, and manage jobs.
  • Access workspace objects: Get information about and interact with objects like folders, files, and DBFS.
  • Integrate with other tools: Use the API to build custom integrations with different tools and services in your data ecosystem.

Available Resources:

Additional Tips:

  • Authentication: Most API requests require a personal access token or other supported authentication method.
  • Libraries and SDKs: Databricks provides SDKs for Python, R, Java, and Go that can simplify working with the REST API.
  • Rate limits: Be aware of the API rate limits to avoid exceeding them.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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