Emergent models, frameworks, and hardware technologies for Big data analytics

Sven Groppe*

*Corresponding author for this work
1 Citation (Scopus)


Today’s state-of-the-art Big data analytics engines handle masses of data, but will reach to their limits, as the future Big data flood is predicted to still grow with an increasing speed. Hence we need to think about the next development phase and future features of Big data analytics engines. In this paper, we discuss possible future enhancements in the area of Big data analytics with focus on emergent models, frameworks, and hardware technologies. We point out a selection of new challenges and open research questions.

Original languageEnglish
JournalJournal of Supercomputing
Issue number3
Pages (from-to)1800-1827
Number of pages28
Publication statusPublished - 01.03.2020

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)
  • Research Area: Intelligent Systems

DFG Research Classification Scheme

  • 409-04 Operating, Communication, Database and Distributed Systems


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