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, Türkiye, 6 - 07 Kasım 2019 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmyk48245.2019.8965572
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Big Data, Big Data Analytics, Big Data Technologies, Reference Architecture, Systematic Review
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© 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.