This IPL ETL pipeline is a final project that demonstrates the extraction, transformation, and loading of Indian Premier League (IPL) cricket data. The project aims to provide a systematic process for retrieving IPL data, performing necessary data transformations, and loading the processed data into a desired format or destination.
The IPL ETL pipeline is designed to extract IPL data from a reliable source, performing necessary data transformations, and loading the processed data into a usable format or destination.
- Extraction of IPL data from a specified data source.
- Transformation of the extracted data to clean and structured formats.
- Loading the processed data into a target destination or format.
The IPL ETL pipeline is built using the following technologies:
- Python: The programming language used for developing the pipeline.
- Pandas: A powerful data manipulation library in Python for data transformation.
- Matplotlib and Seaborn
The data source for this project is scraping IPL team wiki pages and cricmetrics, which provides comprehensive IPL player salaries and team information
The data transformation stage involves cleaning and structuring the extracted data into a desired format. The pipeline applies various transformation techniques, including:
- Handling missing or inconsistent data.
- Converting data types to the appropriate format.
- Aggregating and summarizing data based on specific requirements.
The transformation process ensures the data is accurate, consistent, and ready for loading into the destination.
The IPL ETL pipeline outputs the processed data into a specified destination or format.
- Saving the data as structured files (CSV, JSON, etc.) for sharing or integration with other systems.
- Generating reports or visualizations based on the transformed data.
Any questions, Feel free to get in touch!