期刊名称：International Journal of Distributed and Parallel Systems
印刷版ISSN：2229-3957
电子版ISSN：0976-9757
出版年度：2017
卷号：8
期号：1
页码：1
DOI：10.5121/ijdps.2017.8101
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In recent past, big data opportunities have gained much momentum to enhance knowledge management inorganizations. However, big data due to its various properties like high volume, variety, and velocity canno longer be effectively stored and analyzed with traditional data management techniques to generatevalues for knowledge development. Hence, new technologies and architectures are required to store andanalyze this big data through advanced data analytics and in turn generate vital real-time knowledge foreffective decision making by organizations. More specifically, it is necessary to have a single infrastructurewhich provides common functionality of knowledge management, and flexible enough to handle differenttypes of big data and big data analysis tasks. Cloud computing infrastructures capable of storing andprocessing large volume of data can be used for efficient big data processing because it minimizes theinitial cost for the large-scale computing infrastructure demanded by big data analytics. This paper aims toexplore the impact of big data analytics on knowledge management and proposes a cloud-based conceptualframework that can analyze big data in real time to facilitate enhanced decision making intended forcompetitive advantage. Thus, this framework will pave the way for organizations to explore the relationshipbetween big data analytics and knowledge management which are mostly deemed as two distinct entities.
关键词：Knowledge management; cloud computing; big data; data analytics; competitive advantage; decision;making.
