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MindBridge has developed a set of set of notebooks to create a streamlined integration betweeen Databricks and MindBridge. The same data workflows can be adapted for other cloud data platforms like Snowflake and Microsoft Fabric.

Benefits

  • Operational efficiency: Streamlines operations and eliminates the need for custom scripts.
  • Focused risk mitigation: Enables finance teams to concentrate on reviewing and mitigating risks more effectively.
  • Seamless workflow: Maintains consistent workflows within the Databricks environment.

Key aspects of the integration

  • Pre-configured Python notebooks: Access reusable Python notebooks designed to run within Databricks for tasks such as sending data to MindBridge, triggering analyses, and querying results.
  • Customization: Easily customize these notebooks to meet specific needs, such as adjusting data frequency, integrating custom data sources, or modifying analysis parameters.
  • Resources and tutorials: Leverage supporting documentation to help your team quickly set up and customize the notebooks for your environment.
Download the preconfigured Python notebooks for Databricks from GitHub.
Reach out to your Customer Success representative if you need assistance integrating MindBridge with your Databricks environment. We are happy to support you through the process.