Abstract
The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation.
Highlights
Data driven approaches have become a crucial part in most of the scientific fields, as well as within the business, social sciences, humanities and the financial sectors
Big Data research mainly focuses on four main properties, in a different context a higher number of such properties are considered [2]:
This article aims to provide a survey of some specific approaches, techniques and methods in Big Data, as depicted in Figure 1, with particular emphasis on automated decision support and modelling
Summary
Data driven approaches have become a crucial part in most of the scientific fields, as well as within the business, social sciences, humanities and the financial sectors. This diversity requires suitable tools and techniques that can be applied to efficiently deal with the different data types
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