In the ever-evolving landscape of modern business operations, the seamless integration of data is a main factor for organizations aiming to get insights from diverse sources for analytical, artificial intelligence (AI), and machine learning (ML) workloads. Traditionally, the Extract, Transform, Load (ETL) process has been the cornerstone for preparing and consolidating data into a centralized repository.