Abstract

Developing Big Data applications has become increasingly important in the last few years. In fact, several organizations from different sectors depend increasingly on knowledge extracted from huge volumes of data. However, in Big Data context, traditional data techniques and platforms are less efficient. They show a slow responsiveness and lack of scalability, performance and accuracy. To face the complex Big Data challenges, much work has been carried out. As a result, various types of distributions and technologies have been developed. This paper is a review that survey recent technologies developed for Big Data. It aims to help to select and adopt the right combination of different Big Data technologies…

Citation impact

965
total citations
FWCI
120.51
Percentile
100%
References
140
Citations per year

Authors

4

Topics & keywords

Keywords
  • Big data
  • Data science
  • Computer science
  • Data access layer
  • Scalability
  • Context (archaeology)
  • Layer (electronics)
  • Emerging technologies
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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