This paper presents an overview of Big Data and highlights different types of Big Data analytics as well as the concepts and approaches to their implementation. It serves as a starting point for individuals and organizations, who are interested in this technology. The Big data challenges discussed are Scale, Performance, Continuous Availability, Workload Diversity, Data Security, Manageability and Cost. | International Journal of Computer Networks and Communications Security VOL. 5, NO. 8, AUGUST 2017, 181–187 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Big Data: Concepts, Approaches and Challenges Lawal Idris Bagiwa Department of Computer Science, College of Science and Technology, Hassan Usman Katsina Polytechnic . 2052, Katsina, Nigeria lbagiwa@ ABSTRACT These days, many people in the information technology world and in corporate boardrooms are talking about ―Big Data.‖ Many believe that, for organizations that get it right, Big Data will be able to unleash new organizational capabilities and value. But what does the term ―Big Data‖ actually entail, and how will the insights it yields differ from what managers might generate from traditional analytics? This paper presents an overview of Big Data and highlights different types of Big Data analytics as well as the concepts and approaches to their implementation. It serves as a starting point for individuals and organizations, who are interested in this technology. The Big data challenges discussed are Scale, Performance, Continuous Availability, Workload Diversity, Data Security, Manageability and Cost. Keywords: Big Data, Big Data Concepts, Big Data Technologies, 3Vs, Big Data Challenges. Big Data has been identified as the major barrier to effective utilization of Big Data. Therefore, this Big Data are high-volume, high-velocity, and/or paper documents the basic concepts relating to Big high-variety information assets that require new Data. It attempts to consolidate the hitherto forms of processing to enable enhanced decision fragmented discourse on what constitutes Big Data, making, insight discovery and process optimization‖ what metrics define the size and other characteristics [10]. There is no question that organizations are of Big Data, and what tools and technologies exist to swimming in an expanding sea of data that is either harness the potential
