This repository contains materials related to the term paper for the course MET_CS777 at Boston University.
In this term paper, we explore performance tuning for PostgreSQL and Spark.
METCS777-term-paper-code-sample-doc-Team20.pdf
: Code sample documentaion including Environment setup, How to run the code, results of running the code with data, Detailed explaination of the dataset and resultsdata/
: Directory containing datasets used in the analysis.code/
: Directory containing any code or scripts used for PostgreSQL or Spark.images/
: Directory containing images or visualizations used in the paper.
To access the term paper, simply download the METCS777-term-paper-code-sample-doc-Team20.pdf
file. If you wish to reproduce the analysis, you can use the datasets provided in the data/
directory along with the code available in the code/
directory.
Contributions to this project are welcome! If you find any issues or have suggestions for improvement, please feel free to open an issue or create a pull request.
- Zhuoran Yu: Database design and PostgreSQL performance tuning.
- Hanlin Guo: Spark performance tuning.
This project is licensed under the MIT License.