A survey of big data management: Taxonomy and state-of-the-art

Aisha Siddiqa, Ibrahim Abaker Targio Hashem, Ibrar Yaqoob, Mohsen Marjani, Shahabuddin Shamshirband, Abdullah Gani, Fariza Nasaruddin

Research output: Contribution to journalArticlepeer-review

176 Scopus citations

Abstract

The rapid growth of emerging applications and the evolution of cloud computing technologies have significantly enhanced the capability to generate vast amounts of data. Thus, it has become a great challenge in this big data era to manage such voluminous amount of data. The recent advancements in big data techniques and technologies have enabled many enterprises to handle big data efficiently. However, these advances in techniques and technologies have not yet been studied in detail and a comprehensive survey of this domain is still lacking. With focus on big data management, this survey aims to investigate feasible techniques of managing big data by emphasizing on storage, pre-processing, processing and security. Moreover, the critical aspects of these techniques are analyzed by devising a taxonomy in order to identify the problems and proposals made to alleviate these problems. Furthermore, big data management techniques are also summarized. Finally, several future research directions are presented.

Original languageBritish English
Pages (from-to)151-166
Number of pages16
JournalJournal of Network and Computer Applications
Volume71
DOIs
StatePublished - 1 Aug 2016

Keywords

  • Big data
  • Big data management
  • Processing
  • Security
  • Storage

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