Future Directions of GenAI in the Design and Implementation of AI in ETL Pipeline Development

Abstract

The study seeks to look at the possibilities of GenAI in the enhancement and advancements in the use of AI in ETL pipeline creation. It examines how GenAI improves real-time data intake, forecast analysis, and the automation of processes in ETL platforms. From a review of literature and case studies of organisations like Google Cloud, and Netflix, the study defines the pragmatic advantages, disadvantages, and real-life applications, along with ongoing and potential challenges and limitations of GenAI. Based on the identified implementation barriers, the study provides recommendations on how to overcome these barriers as well as suggests future research areas concerning the scalability, security and performance of hybrid ETL frameworks.