Olap and ELK Exploration of Large Data Sets


연구 분야: Databases



학회: 2024 2nd International Conference on Big Data and Privacy Computing (BDPC)


초록

By exploiting various tools for processing massive data, data extraction is an essential means of ensuring the reliability and quality of a BI information system. However, decision making has led us to exploit the technical differences of data mining. Thus, the data warehouse models information with the aim of improving results when processing this data instantaneously. This article presents a method for improving the efficiency of big data mining using the ELK stack and OLAP methodology. This approach enables users to analyze data quickly and efficiently.


Author Profile
Rajaonarimanana Laingo Nantenaina

Cognitive Science and Application Ecole Doctorale en Sciences et Technique de l'Ingenierie et de l'Innovation (ED-STII) Antananarivo Madagascar

Andorra
Author Profile
Andriamanohisoa Hery Zo

Cognitive Science and Application Ecole Doctorale en Sciences et Technique de l'Ingenierie et de l'Innovation (ED-STII) Antananarivo Madagascar

Andorra

📄 논문 정보

발행 연도 2024년
인용수 1
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

연관 논문 목록 (99건)