TY - JOUR
T1 - A survey of big data management
T2 - Taxonomy and state-of-the-art
AU - Siddiqa, Aisha
AU - Hashem, Ibrahim Abaker Targio
AU - Yaqoob, Ibrar
AU - Marjani, Mohsen
AU - Shamshirband, Shahabuddin
AU - Gani, Abdullah
AU - Nasaruddin, Fariza
N1 - Funding Information:
The authors would like to thank the University of Malaya for grant “Big Data and Mobile Cloud for Collaborative Experiments”, Project Number: RP012C-13AFR, Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant “Mobile Cloud Computing: Device and Connectivity”, Project Number: M.C/625/1/HIR/MOE/FCSIT/03 and Bantuan Kecil Penyelidikan (BKP) Grant with project number: BK074-2015.
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/8/1
Y1 - 2016/8/1
N2 - 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.
AB - 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.
KW - Big data
KW - Big data management
KW - Processing
KW - Security
KW - Storage
UR - https://www.scopus.com/pages/publications/84978946777
U2 - 10.1016/j.jnca.2016.04.008
DO - 10.1016/j.jnca.2016.04.008
M3 - Article
AN - SCOPUS:84978946777
SN - 1084-8045
VL - 71
SP - 151
EP - 166
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
ER -