Strategies and Challenges in Big Data: A Short Review

Abstract

The Big Data is the new trending technology in the field of research in recent years and is not only big in size, but also generated at brisk rate and variety, which endeavors the research upsurge in multidisciplinary fields like Government, Healthcare and business performance applications. Due to the key features (Volume, Velocity, and Variety) of Big Data it’s difficult to store and analyse with conventional tools and techniques. It acquaints unique challenges in scalability, storage, computational complexity, analytical, statistical correlation and security issues. Hence we describe the salient features of big data and how these affects the storage technologies and analytical techniques. We then present the taxonomy of Big Data sub-domains and discuss the different datasets based on data characteristics, privacy concern, and domain and application knowledge. Furthermore, we also explore research issues and challenges in big data storage technologies, privacy of data and data analytics.