This project involves the extraction, transformation, and loading (ETL) of data from AWS S3 to a Vertica database. The ETL pipeline is orchestrated using Apache Airflow and containerized using Docker.

This project demonstrates a simple ETL (Extract, Transform, Load) pipeline. The ETL script reads a CSV file, processes the data, and loads it into a MySQL database. The project is containerized using ...

SQL Server provides different options for ETL, such as Integration Services (SSIS), Azure Data Factory, SQL Server Agent, and T-SQL scripts. Each tool has its own advantages and disadvantages ...