Comparative analysis of tools and platforms for automation of ETL processes in modern data warehouses

In the modern world, there is a significant increase in data volumes, which causes problems with their effective collection, processing and analysis. Organizations strive to use data as a competitive advantage, so effective ETL processes help minimize data errors and improve the accuracy of analysis. The research paper will consider five popular tools for automating ETL processes, including Apache Airflow, Pentaho Data Integration and Oracle Data Integrator, and also carry out their comparative analysis according to different criteria.