DataPipeline GUI

Welcome to the DataPipeline GUI repository! This collection of graphical user interfaces (GUIs) and associated files is designed to enhance the user-friendliness and accessibility of the data pipeline code. These GUIs simplify the interaction with the data pipeline and facilitate the management of different types of databases.

Folder Contents:

1. scripts_csv

• This subfolder contains the code for the GUI tailored for interacting with the data pipeline using CSV files as the database source.

2. scripts_mysql

• Within this subfolder, you will find the code for a GUI specifically designed to work with the data pipeline using MySQL databases as the source.

3. py_files

• Python files in this subfolder have been converted from Jupyter Notebook files to seamlessly operate within the GUI environment.

4. sop (Standard Operating Procedures)

• Find guidelines here on how to effectively use the GUI for the data pipeline, ensuring seamless navigation and operation of the interfaces.

How to Use:

1. Choose the appropriate GUI:

   • Select either the CSV GUI or the MYSQL GUI based on your data pipeline requirements.

2. Open the GUI:

   • Use a Python interpreter or integrated development environment (IDE) compatible with GUI applications to open the selected GUI.

3. Interact with the Data Pipeline:

   • Use the GUI to interact with the data pipeline code and efficiently manage your databases.

4. Refer to SOP Documentation:

   • Detailed instructions on how to navigate and utilize the GUI for various tasks are available in the SOP documentation.

Additional Information:

• User-Friendly Design:

  • The GUIs are designed to streamline and simplify the use of the data pipeline code, making it accessible to users who may not be familiar with command-line interfaces.

• Comprehensive SOP Documentation:

  • The SOP documentation provides clear and comprehensive instructions for using the GUI effectively, ensuring a smooth experience for all users.

• Flexibility with Python Files:

  • Python files in the "py_files" subfolder are meant to be run within the GUI environment, providing flexibility in working with your data.