ETL applied to Klarna e-commerce dataset


연구 분야: Databases



학회: 2023 9th International Conference on Optimization and Applications (ICOA)


초록

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.


Author Profile
Anas El Attaoui

Science and Engineering Laboratory National school of applied sciences Ibn Tofail university Kenitra Morocco

Andorra
Author Profile
Sara Rhouas

Science and Engineering Laboratory National school of applied sciences Ibn Tofail university Kenitra Morocco

Andorra
Author Profile
Norelislam El Hami

Science and Engineering Laboratory National school of applied sciences Ibn Tofail university Kenitra Morocco

Andorra

📄 논문 정보

발행 연도 2023년
인용수 1
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

연관 논문 목록 (47건)