An open API service indexing awesome lists of open source software.

https://github.com/databricks-solutions/technical-services-solutions

Shared Technical Services - Solutions
https://github.com/databricks-solutions/technical-services-solutions

Last synced: 4 months ago
JSON representation

Shared Technical Services - Solutions

Awesome Lists containing this project

README

          

# Technical Services Solutions

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.

## Repository Structure

The repository is organized into the following categories:

Here is the repo structure:

- [**Core Platform**](core-platform)
- [**Data Engineering**](data-engineering)
- [**Data Governance**](data-governance)
- [**Data Warehousing**](data-warehousing)
- [**ML & GenAI**](genai-ml)
- [**Launch Accelerator**](launch-accelerator)
- [**Workspace Setup**](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

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)

## How to Contribute

All contributions must follow our contribution guidelines. Please see [CONTRIBUTING.md](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.

## Getting Help

**Databricks support doesn't cover this content.** For questions or bugs:

1. **Issues**: Open a GitHub issue for technical problems or feature requests

The team will provide help on a best-effort basis.

## Important Disclaimers

⚠️ **Please Note**:
- 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

## License

© 2025 Databricks, Inc. All rights reserved.
The source in this repository is provided subject to the Databricks License
[Databricks License](https://databricks.com/db-license-source).

### Open Source Dependencies
All included or referenced third-party open source libraries in this repository are subject
to their respective licenses as documented in [LICENSE-THIRD-PARTY](./LICENSE-THIRD-PARTY.md).