Title :
Present Situation and Prospect of Data Warehouse Architecture under the Background of Big Data
Author :
Lihua Sun ; Mu Hu ; Kaiyin Ren ; Mingming Ren
Author_Institution :
Nanjing NARI Group Corp., Nanjing, China
Abstract :
Compared with the traditional data warehouse applications, the big data analysis is characterized by its large data size and complex query analysis. In order to design the data warehouse architecture suitable for the big data analysis, this paper analyzes and summarizes the current mainstream implementation platform-parallel database, MapReduce and the hybrid architecture based on the above-mentioned two architectures. Moreover, it presents respectively their advantages and disadvantages and describes various researches of and the author´s efforts on the big data analysis to make prospects for the future study.
Keywords :
Big Data; data analysis; data warehouses; parallel programming; Big Data analysis; MapReduce; data warehouse architecture; parallel database; Big data; Computer architecture; Fault tolerance; Fault tolerant systems; Relational databases; Scalability; MapReduce; big data; data warehouse; deep analysis; large scale; parallel database;
Conference_Titel :
Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
Conference_Location :
Guangzhou
DOI :
10.1109/ISCC-C.2013.102