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Databricks Cost Exports with nOps Platform

Integrate your Databricks billing data with the nOps platform to gain comprehensive insights into your cloud expenses. nOps supports both AWS and Azure Databricks deployments, allowing you to analyze cost and usage information using the Explorer tool in the nOps platform.

What You Get with Databricks Integration​

Regardless of your platform choice, the Databricks integration provides:

  • Comprehensive Cost Visibility: View your Databricks expenses alongside other cloud costs in a unified dashboard
  • Detailed Usage Analytics: Track and analyze your Databricks resource utilization patterns
  • Automated Data Collection: Seamless integration that automatically pulls your Databricks billing data
  • Custom Reporting: Create tailored reports focusing on your Databricks usage and costs
  • Resource Allocation Tracking: Monitor how your Databricks resources are being utilized across different teams or projects

Benefits of Integration​

  • Centralized Cost Visibility
    Access a unified view of your Databricks expenses alongside other cloud cost data in the nOps platform.

  • Resource Optimization
    Identify high-cost areas and optimize resource allocation for better efficiency.

  • Enhanced Transparency
    Gain a clear understanding of your Databricks usage trends and cost breakdowns.

  • Secure Data Export
    Uses platform-native storage solutions with built-in encryption and access controls.

Getting Started​

Choose your platform and follow the step-by-step integration guide:

Frequently Asked Questions​

Expand FAQs

1. How does the Databricks integration with nOps work?​

The integration varies by platform:

  • AWS: Upload billing data to S3 bucket, nOps accesses via CloudFormation-granted permissions
  • Azure: Export billing data to Azure Storage Account, nOps accesses using storage credentials

2. How do I automate billing data exports from Databricks?​

nOps provides Python scripts for both platforms that extract billing data. Schedule these scripts as daily jobs in your Databricks workspace to automatically export data to your storage solution.

3. How long does it take for data to appear in nOps after setup?​

It may take up to 24 hours for the initial data synchronization to complete. After this period, your Databricks billing data should be visible in the Cost Analysis tool.

4. What should I do if my billing data doesn't appear after 24 hours?​

Check the following:

  • Export Job Status: Verify the scheduled Databricks job is running successfully and uploading data
  • Platform-Specific Setup:
    • AWS: Verify CloudFormation stack deployment and S3 bucket access
    • Azure: Ensure secret setup was completed correctly in Databricks workspace

If the issue persists, contact nOps support for assistance.

5. Can I use existing storage resources?​

Yes, you can use existing storage accounts/buckets. Ensure they have the appropriate permissions configured for nOps access and Databricks upload capabilities.

6. Is the data transfer secure?​

Yes, both integrations use platform-native security features:

  • AWS: IAM roles, S3 encryption, and secure CloudFormation-managed access
  • Azure: Storage access keys, encrypted transfer, and Databricks secret management

7. What are the setup requirements for each platform?​

  • AWS: S3 bucket, CloudFormation deployment permissions, AWS Databricks workspace
  • Azure: Storage Account with access keys, Azure Databricks workspace, administrative privileges