Software-driven big data analytics. Guest editors’ introduction

Rajiv Ranjan*, Zheng Li*, Massimo Villari, Yan Liu, Dimitrios Georgeakopoulos

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

1 Citation (Scopus)

Abstract

Data analytics is the crucial step to reveal essential values of datasets and complete the value chain of big data. In practice, both the hardware infrastructure and the software stack play a fundamental role in big data analytics (BDA). Unfortunately, it is evident that a disproportionately larger amount of effort is being invested in the hardware infrastructure development over the software stack development. Given our concern about a software crisis brewing in the big data ecosystem, we argue that it is time to further strengthen and expand the role of software in BDA implementations. This special issue is then aimed to create a common ground and a reference point for both researchers and practitioners from multiple disciplines to discuss the rigor, relevance, experience and challenges of software-driven BDA as an emerging domain. We also expect to use this special issue to attract more attention and efforts to tighten communication and collaboration between the software engineering community and the data science community.

Original languageEnglish
Pages (from-to)1409-1417
Number of pages9
JournalComputing
Volume102
Issue number6
DOIs
Publication statusPublished - 01 Jun 2020
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported in part by Chilean National Commission for Scientific and Technological Research (CONICYT, Chile) under Grant FONDECYT Iniciación 11180905.

Publisher Copyright:
© 2020, Springer-Verlag GmbH Austria, part of Springer Nature.

Keywords

  • Big data analytics
  • Data science
  • Software
  • Software engineering

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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