Til hovedinnhold
Norsk English

Building the databench workflow and architecture

Sammendrag

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies. The goal of DataBench is to design a benchmarking process helping organizations developing Big Data Technologies (BDT) to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance. This paper focuses on the internals of the DataBench framework and presents our methodological workflow and framework architecture.

Kategori

Vitenskapelig artikkel

Språk

Engelsk

Forfatter(e)

  • Todor Ivanov
  • Timo Eichhorn
  • Arne Jørgen Berre
  • Tomás Pariente Lobo
  • Ivan Martinez Rodriguez
  • Ricardo Ruiz Saiz
  • Barbara Pernici
  • Chiara Francalanci

Institusjon(er)

  • SINTEF Digital / Sustainable Communication Technologies
  • Politecnico di Milano
  • Spania
  • Johann Wolfgang Goethe-Universität Frankfurt am Main

År

2020

Publisert i

Lecture Notes in Computer Science (LNCS)

ISSN

0302-9743

Årgang

12093

Side(r)

165 - 171

Vis denne publikasjonen hos Nasjonalt Vitenarkiv