ETL applied to Klarna e-commerce dataset

Abstract

This paper examines the crucial role of Extract, Transform, Load (ETL) processes in managing and analyzing large-scale datasets, specifically focusing on its application in the e-commerce domain. The paper explores the challenges posed by big data and discusses how ETL techniques facilitate data integration, cleansing, and preparation for effective analysis. Furthermore, it presents a practical case study showcasing the application of ETL to Klarna e-commerce dataset, highlighting the benefits and insights gained from the process.