✈️ flight-analytics-pipeline - Analyze Flight Performance Effortlessly

🚀 Getting Started

Flight Analytics Pipeline is a user-friendly tool designed to help you analyze US flight performance. This software uses modern technologies like Apache Airflow for orchestration, dbt for data transformation, and Docker for easy deployment. You do not need any programming skills to use it.

📦 What You Need

System Requirements

Before you start, ensure your system meets these basic requirements:

• Operating System: Windows, macOS, or Linux
• Disk Space: At least 1 GB available
• RAM: Minimum 4 GB
• Docker: Installed and running on your machine

🔍 Features

• ELT Pipeline: Extracts, loads, and transforms flight performance data effectively.
• Data Visualization: Provides clear and insightful visuals for better analysis.
• User-Friendly Interface: Easy navigation, even for beginners.
• Containerization: Runs smoothly in isolated environments through Docker.
• Scalability: Easily adapts to larger datasets without hassle.

📥 Download & Install

To get started, visit the page to download the software from our Releases page:

Download Flight Analytics Pipeline

Installation Steps

1. Go to the Releases Page: Click the link above to navigate to the Releases page.

2. Select the Version: Choose the latest version of the flight-analytics-pipeline.

3. Download the File: Click on the file appropriate for your operating system. It will start downloading.

4. Install Docker: If you haven’t installed Docker yet, follow the instructions at Docker Setup.

5. Run the Application:

   • Extract the downloaded file to a location on your computer.
   • Open a command prompt or terminal.
   • Navigate to the directory where you extracted the files.
   • Start the application using the command: docker-compose up.

🤖 How It Works

The Flight Analytics Pipeline processes flight data through various stages:

1. Extraction: The tool connects to public flight data sources to gather information.

2. Loading: It loads the data into a storage solution, such as DuckDB, for efficient analysis.

3. Transformation: Using dbt, it transforms the raw data into structured, analyzable datasets.

4. Visualization: Finally, insightful graphs and reports help you understand flight performance metrics.

📊 Using the Application

Once the application is running:

• Open your web browser.
• Navigate to http://localhost:8080 to access the dashboard.
• Use the intuitive interface to start analyzing flight data.
• Explore various charts and reports generated by the system.

✅ Troubleshooting

Here are common issues and solutions:

• Docker Does Not Start: Ensure you have installed Docker properly. Restart your computer and try again.

• No Data Available: Make sure that the application is correctly configured to access the flight data sources. Double-check your settings in the config file.

• Performance Issues: Close unnecessary applications to free up resources, especially if your computer has limited RAM.

📚 Helpful Resources

• Documentation: Comprehensive guides are available in the repository’s Wiki section.
• Support: Visit the Issues tab in the repository for help or to report bugs.
• Community: Join discussions in our forum or Slack channel for tips from other users.

🔗 Additional Information

For more details on how the application functions and its architecture, you can check out the source code. We welcome contributions, so if you find ways to improve this pipeline, feel free to participate.

Download the latest version here: Download Flight Analytics Pipeline