Archive
This folder contains legacy content, code samples, and REST API collections that are no longer actively maintained but kept for reference.
Contents
Databricks Jump Start
Path: databricks-jump-start/
Historical code samples and tutorials covering:
- Getting started with Spark (Python, Scala, R, SQL)
- MLFlow examples
- Delta Lake examples
- Workshop materials
- Cryptography examples
- Sample datasets
Note: These examples may use older Databricks Runtime versions or deprecated APIs. For current best practices, see the main cloud-specific deployment guides.
REST API Collections
Path: databricks-rest-api-collection/
Postman collections for Databricks REST APIs:
- Token management
- Cluster policies
- IP access lists
- Permissions
- Secrets management
Note: Consider using the Databricks CLI or Terraform provider for production automation instead of raw REST API calls.
Why Archived?
These resources have been archived because:
- Better alternatives exist: Modern deployment patterns use Terraform/infrastructure-as-code
- Maintenance burden: Keeping examples up-to-date with every Databricks release is unsustainable
- Focus on production patterns: The repository now focuses on enterprise-ready, production deployments
Current Alternatives
Instead of using archived content, consider:
For Learning Databricks
- Databricks Academy: https://www.databricks.com/learn/training
- Official Documentation: https://docs.databricks.com/
- Databricks Community: https://community.databricks.com/
For Production Deployments
- Azure: ../adb4u/ - Production-ready Terraform templates
- AWS: ../awsdb4u/ - Private Link workspace deployments
- GCP: ../gcpdb4u/ - VPC-SC and PSC implementations
For Automation
- Terraform: Use the Databricks Terraform provider
- Databricks CLI: For scripting and CI/CD pipelines
- SDKs: Python, Java, Go SDKs for programmatic access
Still Useful For
These archived resources may still be useful for:
- Understanding legacy implementations
- Historical reference
- Quick code snippets (with caution)
- Learning basic concepts
Warning: Always verify that code examples work with your current Databricks Runtime version before using them.