Big Data-9Vs, Challenges and Solutions.

K. Khurshid; A. A. Khan; H. Siddiqi; I. Rashid

Author(s)

K. Khurshid Military College of Signals (MCS), National University of Science & Technology (NUST), Islamabad, Pakistan

A. A. Khan Military College of Signals (MCS), National University of Science & Technology (NUST), Islamabad, Pakistan

H. Siddiqi Military College of Signals (MCS), National University of Science & Technology (NUST), Islamabad, Pakistan

I. Rashid Military College of Signals (MCS), National University of Science & Technology (NUST), Islamabad, Pakistan

Abstract

Big data refers to the data whose large volume, value, complexity, exponential arrival and growth rate makes it very difficult to be captured, efficiently managed, processed and analyzed within a certain time frame by conventional techniques. This paper provides a comprehensive review on the background of big data, its importance and related challenges. It gives an insight into fundamentals of security and risks associated with big data along with certain workable solutions. Another input in this work is the revision of existing IBM's 3V model of big data consisting of Value, Velocity and Volume. A more realistic model compromising of 9Vs has been devised for future modelling and classification of big data.

Publication Details

Page(s) 28-34

DOI DOI not available

Published Journal: Technical Journal, Volume: 23, Issue: 3, Year: 2018

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Keywords

Data Mining, data security, 3V Model, Data Breaches, Data Modelling, information management