Big data analytics applications play a significant role in data centers, and hence it has become increasingly important to understand their behaviors in order to further improve the performance of data center computer systems, in which characterizing representative workloads is a key practical problem. In this paper, after investigating three most important application domains in terms of page ...

­The volume of generated data increases by the rapid growth of Internet of Things (IoT), leading to the big data proliferation and more opportunities for data centers. Highly virtualized cloud-based datacenters are currently considered for big data analytics. However big data requires datacenters with promoted infrastructure capable of undertaking more responsibilities for handling and analyzin...

PurposeThe purpose of this paper is to examine when and how organizations build big data analytics capability to improve supply chain agility and gain competitive advantage. Design/methodology/approachWe grounded our theoretical framework in two perspectives the dynamic capabilities view (DCV) and contingency theory (CT). To test our research hypotheses, we gathered 173 usable-responses using a...

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualisation and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in ...

Big data is a collection of massive and complex data sets that include the huge quantities of data, social media analytics, data management capabilities, real-time data. Big data analytics is the process of examining large amounts of data. Big Data is characterized by the dimensions volume, variety, and velocity, while there are some wellestablished methods for big data processing such as Hadoo...

In this talk, I will describe the key secular trends that characterize the field of Big Data with respect to enterprise analytics. I will describe some of the open challenges for enterprise analytics in the context of Big Data. Although some of these problems are not new, their importance is amplified by Big Data. As an example, we will discuss the task of leveraging unstructured data for enter...

With the developments in computer technology, big data continues to be one of most remarkable issues today. This concept, which was tried defined with features Volume, Velocity and Variety 2000s, has emerged as a 50-V feature by adding new V itself over 20-year period. Obviously these Vs will continue increase. In study, more than 30 common concepts literature were introduced resource suggestio...