期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：3
页码：92-94
语种：English
出版社：Ayushmaan Technologies
摘要：In the information era, large amount of data have become available to the decision makers to decide the facts. Big data refers to datasets that are not only enormous, but also big in variety and velocity, which makes them difficult to work with traditional tools and techniques. Due to the rapid growth of this type of data, various results are needed to be followed and provided in order to check and extract value and data from the datasets. On the other hand, the executive systems need to be able to look for valuable insights from this kind of varied and frequently changing data, ranging from daily transactions to customer service and social network data. Such value can be supplied using big data analytics, which is the basic result of advanced data analytics techniques on big data. This paper focus on the analysis of the different data analytics methods and tools which can be applied on big data, as well as the data provided by the results and software that helps in analysis ofbig data in different decision domains.
