
Submitted by Angela Walters on Thu, 26/10/2017 - 15:16
The October Monthly Paper from the Cambridge Service Alliance, on 'Big Data Analytics Architecture for Businesses, by Mert Onuralp Gökalp, Kerem Kayabay, Mohamed Zaki, Altan Koçyiğit, P. Erhan Eren, and Andy Neely
Organisations suffer from a comprehensive architecture to manage and monitor the development of existing and new open-source big-data tools that are constantly growing. To determine the shortcomings and strengths of developing a big-data architecture with open-source tools from technical and managerial perspectives, this study (1) investigates the available open-source big-data technologies to present a comprehensive picture (2) presents a systematic method to review available open-source big-data tools (3) proposes an open-source reference architecture for big-data analytics (4) using the proposed architecture, analyses 15 firms to give directions to businesses for defining a big-data analytics architecture with the open-source big-data tools.