Databricks Unity Catalog Quickstart - Apply all recommended UC Settings in one shot 🌐🚀!

🌟🔧 This project acts as a helper to install UC with default recommended settings which saves a lot of boilerplate code and brainstorming even before customers use Unity Catalog. 🔧🌟

Welcome to the databricks-uc-quickstart repository! This project is dedicated to deploying the Unity Catalog on Databricks using Terraform, which simplifies the initial setup with pre-configured Terraform scripts. Eliminate boilerplate code and reduce the configuration overhead to jumpstart your data governance initiatives efficiently!

Features ✨

• Terraform Automation: Utilize Terraform to automate the deployment and management of the Unity Catalog.
• Quick Setup: Initialize your Unity Catalog with default settings optimized for immediate use.
• Less Boilerplate: Start your projects with minimal setup and focus on what's important.
• Customizable: Flexible configuration to tailor the environment to your specific needs.

Getting Started 🌟

Here’s how to deploy your Unity Catalog environment using Terraform:

Prerequisites

• Databricks account
• Install Terraform
• Basic understanding of Databricks and Terraform

Installation

1. Clone the Repository: git clone https://github.com/yourusername/databricks-uc-quickstart.git cd databricks-uc-quickstart

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2. Terraform Initialization:

• Initialize Terraform to download the necessary providers and modules. terraform init

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3. Configuration:

• Navigate to either the aws or azure directory, depending on the cloud provider you are using.
• Follow the instructions in the README file located in that directory.

4. Apply Configuration:

• Apply the Terraform configuration to deploy the Unity Catalog. terraform apply

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Verify Deployment

• After the deployment, verify the setup in your Databricks environment to ensure everything is configured correctly.

Documentation 📖

For more in-depth documentation on customizing and using this Terraform setup, please refer to our Wiki.

Contributing 🤝

We encourage contributions to make this project even better! Whether it's bug reports, code contributions, documentation improvements, feature requests, or feedback, here's how you can contribute:

• Fork the repository and create your branch from main.
• Follow the code style and conventions provided in the project.
• Write clear, commented code if you are making code changes.
• Open a pull request with a detailed description of the changes.

Please review our Contribution Guidelines for detailed information on contributing.

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.