Architecting big data: Challenges, studies and forecasts

  • Shan Wang*
  • , Hui Ju Wang
  • , Xiong Pai Qin
  • , Xuan Zhou
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

Compared with traditional data warehouse applications, big data analytics are huge and complex. To design a favorable architecture for big data analytics, this paper lists some key features for big data analytics, summarizes current main implementation platforms(parallel databases, MapReduce, and hybrid architectures based on them), and points their pros and cons. Some current researches are also investigated, our work are introduced and some challenging research problems in the future are discussed.

Original languageEnglish
Pages (from-to)1741-1752
Number of pages12
JournalJisuanji Xuebao/Chinese Journal of Computers
Volume34
Issue number10
DOIs
StatePublished - Oct 2011
Externally publishedYes

Keywords

  • Big data
  • Deep analytics
  • Large scale
  • MapReduce
  • Parallel database

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