1. Data Pipeline:

• GitHub Repo Name: data-pipeline-php-airflow
• MVP Goal: Simple data extraction from a CSV file, transformation, and loading into a MySQL table, scheduled with Airflow.
• Key Components:
  • PHP Script:
    • Extract data from a local CSV file.
    • Transform data (basic data cleaning, e.g., trimming whitespace, basic data type conversions).
    • Load data into a MySQL table.
  • MySQL Database:
    • A simple target table.
  • Apache Airflow:
    • A single DAG to run the PHP ETL script.
• Steps:
  1. Set up MySQL: Create a database and table.
  2. Create PHP Script: Implement basic ETL logic (using a basic csv file).
  3. Dockerize Airflow: Start Airflow using a docker-compose setup with a basic configuration.
  4. Create an Airflow DAG: Write a simple DAG in Python to run the PHP script.
  5. Run the DAG: Ensure the pipeline runs successfully.
  6. Documentation: Add README with setup and usage instructions.