A Real Time Data Association Prototype System for Multi-Tenants in Big Data. Issue 2 (March 2019)

• Record Type: Journal Article
• Authors: Fu, Ge; Ding, Yu; Jia, Siyu
• Is Part Of: Journal of physics. Volume 1176:Issue 2(2019)
• Publication Date: 2019-03
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1176/2/022014
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the development of multi-source heterogeneous data production and multi-application multi-tenant data consumption, the requirement of data association analysis is growing. Current data association analysis technology cannot satisfy the requirements of streaming data analysis and processing in a real scenario. In this paper, in order to achieve the real-time data association analysis, firstly, we solve the key problems of streaming data association; secondly, we construct a data real-time association computing system for multi-tenants for a Kafka-based big data analysis platform. The system has characteristics of high availability and high efficiency.