This repository contains a comprehensive collection of code examples, demos, and scripts designed to accelerate Databricks implementations across various domains. These resources provide practical, ready-to-use solutions that demonstrate best practices and common patterns for Databricks deployments.
The repository is organized into the following categories:
Here is the repo structure:
- Core Platform
- Data Engineering
- Data Governance
- Data Warehousing
- ML & GenAI
- Launch Accelerator
- Workspace Setup
Each project within these categories should follow a consistent naming convention and include its own README with specific installation and usage instructions.
Installation instructions vary by project. Navigate to the specific project directory and follow the README instructions provided. Common requirements include:
- Databricks workspace access
- Required cluster configurations (specified per project)
- Necessary libraries and dependencies (listed in project requirements)
All contributions must follow our contribution guidelines. Please see CONTRIBUTING.md for detailed information on:
- Creating new projects via PR requests
- Code review requirements
- Naming conventions and structure standards
- Security and compliance requirements
New projects should be created inside the appropriate category directory and must include a comprehensive README.
Databricks support doesn't cover this content. For questions or bugs:
- Issues: Open a GitHub issue for technical problems or feature requests
The team will provide help on a best-effort basis.
- These resources are provided as-is for guidance and educational purposes
- They are not official Databricks tools or supported products
- Content represents implementation examples and best practice guidance
- Users should thoroughly test and validate all code in their specific environments
- Databricks support channels do not cover these community-contributed examples
© 2025 Databricks, Inc. All rights reserved. The source in this repository is provided subject to the Databricks License Databricks License.
All included or referenced third-party open source libraries in this repository are subject to their respective licenses as documented in LICENSE-THIRD-PARTY.