• DocumentCode
    694778
  • 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
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    529
  • Lastpage
    535
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.102
  • Filename
    6973646