Open-Source Big Data Analytics Architecture for Businesses

Gökalp M. O. , Kayabay K., Zaki M., Koçyiğit A., Erhan Eren P. E. , Neely A.

1st International Informatics and Software Engineering Conference, IISEC 2019, Ankara, Turkey, 6 - 07 November 2019 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmyk48245.2019.8965572
  • City: Ankara
  • Country: Turkey
  • Keywords: Big Data, Big Data Analytics, Big Data Technologies, Reference Architecture, Systematic Review
  • Middle East Technical University Affiliated: Yes


© 2019 IEEE.Unaware of existing big data technologies, organizations fail to develop a big data capability despite its disruptive impact on today's competitive business environment. To determine the shortcomings and strengths of developing a big data architecture with open-source tools from technical and managerial perspectives, this study (1) systematically reviews the available open-source big data technologies to present a comprehensive picture, and (2) proposes an open-source architecture for businesses to take as a reference while developing big data analytics capabilities. Lastly, we discuss technical, domain-specific, and firm-specific soft challenges related to establishing a big data architecture in an organization, and how these challenges are reshaping the big data research domain.