A Systematic Literature Map on Big Data

TL;DR

This paper provides a comprehensive overview of Big Data research through a systematic literature map, highlighting current trends, gaps, and the need for standardized infrastructures to advance the field.

Contribution

It offers a systematic, combined bibliometric and content analysis of Big Data studies, identifying research patterns, gaps, and future challenges.

Findings

Research on Big Data is growing but lacks standardized definitions.

Significant gaps exist in infrastructure and standards for Big Data.

Future work should focus on developing effective infrastructures.

Abstract

The paradigm of Big Data has been established as a solid field of studies in many areas such as healthcare, science, transport, education, government services, among others. Despite widely discussed, there is no agreed definition about the paradigm although there are many concepts proposed by the academy and industry. This work aims to provide an analytical view of the studies conducted and published regarding the Big Data paradigm. The approach used is the systematic map of the literature, combining bibliometric analysis and content analysis to depict the panorama of research works, identifying patterns, trends, and gaps. The results indicate that there is still a long way to go, both in research and in concepts, such as building and defining adequate infrastructures and standards, to meet future challenges and for the paradigm to become effective and bring the expected benefits.