Welcome to eta-etl-spark! This software helps you analyze taxi trip data easily. You can use it to get estimated arrival times, manage large data, and make sense of performance patterns. You don’t need to know how to code to benefit from this tool.
To get started, visit the Releases page to download the software you need. Click the button below to go directly to it.
- Click on the Releases link above.
- Browse through the list of versions.
- Find the latest version and click on it.
- You will see a list of files. Choose the file that best suits your system.
- Click on the file to start the download.
Before downloading eta-etl-spark, ensure your system meets the following requirements:
- Operating System: Windows 10 or later, macOS, or Linux
- RAM: Minimum 8 GB (16 GB or more is recommended for optimal performance)
- Disk Space: At least 1 GB of free space for installation and data.
- Java: Ensure you have Java 8 or later installed on your system.
eta-etl-spark offers several powerful features to help you manage and analyze taxi trip data:
- ETL Process: Extract, Transform, Load data with ease.
- Parquet Format: Efficient data storage and retrieval using Parquet files.
- Windowed Aggregations: Analyze data over time to find trends.
- Performance Patterns: Discover how various factors affect trip times.
- Easy to Use: No programming skills are needed to get valuable insights.
Once you have downloaded the software and completed the installation, follow these steps to start using it:
- Open the Application: Launch eta-etl-spark from your applications folder.
- Load Your Data: Click on the "Load Data" button to import your taxi trip data file. Supported formats include CSV and Parquet.
- Configure the ETL Process: Use the easy-to-follow prompts to set up your ETL pipeline. You can select which data to analyze and how to transform it.
- Run the Analysis: After configuration, click "Run" to start the processing. The software will compute the estimated times and compile results.
Once the analysis completes, you can view your results in a user-friendly interface:
- Graphs and Charts: Visualize the data to understand trends.
- Summary Reports: Access detailed reports on key metrics.
- Export Options: Save results in PDF or CSV formats for further sharing or analysis.
If you encounter issues while using eta-etl-spark, consider these common solutions:
- Check System Requirements: Make sure your system meets the listed requirements.
- Update Java: Ensure you have the latest version of Java installed.
- File Format Compatibility: Verify that your data files are in the correct format.
If problems persist, visit the Issues section in the repository for guidance or report your issue.
For more information, you can explore the following:
- User Manual: Detailed instructions on all features can be found in the user manual included in the downloads.
- Community Support: Join the discussion on the Issues page to get advice from other users.
- Example Datasets: Test the application with sample taxi trip datasets available in the repository.
For quick access, here are some useful links:
Thank you for choosing eta-etl-spark! We hope you find it valuable for your analysis needs.