Generalized formal model of big data

TL;DR

This paper introduces a generalized formal model of big data, analyzing its features, differences from business analytics, and the technological components supporting big data systems.

Contribution

It proposes a comprehensive formal model of big data and examines its application and fundamental differences from traditional business analytics.

Findings

Identifies key features of big data technologies

Describes the components of the formal model

Highlights differences between big data and business analytics

Abstract

This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the "big data" term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System technology, Cassandra, HBase, Lustre and ZFS, by the MapReduce and Hadoop programming constructs and many other solutions. According to the experts, such as McKinsey Institute, the manufacturing, healthcare, trade, administration and control of individual movements undergo the transformations under the influence of the Big Data.