Analysis of big data can be done in many ways. To define trends in Big Data we need to concentrate on the biggest challenges faced by this technology and various strategies have been developed in order to process such large data efficiently. We usually describe this by three factors, popularly known as 3Vs i.e. Volume, Velocity and Variety, which describes most of the features of data. The goal of this chapter is to provide traditional meaning and definitions of big data and how this technology is evolved in order to meet today's requirements and challenges. In this chapter we will describe all the attributes of big data i.e. popularly known as 9Vs. Business Intelligence contains these nine attributes on the basis of statistical models or hypothesis in order to provide better predictions and outcomes for any research or results. Machine Learning provides the platform where the big data analysis can be done using cloud computing. With the help of this chapter academicians, business people and researchers can easily find opportunities as a solution for their required purpose.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org