This repository is a template for the final project of big data course in IU-2023. It contains the following directories:

• data/ contains the dataset files.
• models/ contains the Spark ML models.
• notebooks/ has the Jupyter or Zeppelin notebooks of your project and used just for learning purposes.
• output/ represents the output directory for storing the results of the project. It can contain csv files, text files. images and any other materials you returned as an ouput of the pipeline.
• scripts/ is a place for storing .sh scripts and .py scripts of the pipeline.
• sql/ is a folder for keeping all .sql and .hql files.

requirements.txt lists the Python packages needed for running your Python scripts. Feel free to add more packages when necessary.

main.sh is the main script that will run all scripts of the pipeline stages which will execute the full pipeline and store the results in output/ folder. During checking your project repo, the grader will run only the main script and check the results in output/ folder.

Important Note: You cannot change the content of the script main.sh since it will be used for assessment purposes.

Another Note: The notebooks in notebooks/ folder are used only for learning purposes since you need to put all Python scripts of the pipeline in scripts/ folder. During the assessment, the grader can delete the folder notebooks/ to check that your pipeline does not depend on its content.