A knowledge discovery in community contributions of big data technologies
Oliver Bieh-Zimmert, Carsten Felden · 2018
The increasing variety of big data technologies in open source communities is challenging organizations to generate value from those advancements. The technology landscape is missing an overall perspective that clarifies the fragmented understanding of technologies, unpredictable lifecycles, and the unknown adoption for organizations to enable their business with useful technologies. More than one million contributions of features, bugs, and changes were pushed on public available code repositories to develop big data technologies with hidden understanding of the underlying data basis. Using this source could help to identify insights about technological domains as well as their adoption process of contributors to new uprising big data technologies. A knowledge discovery process provided the potential to analyze 269 big data technologies regarding their contribution behavior of over 21,000 contributors. As a result, investigations show an ecosystem of structuring big data technologies based on dynamic contributor networks that have implications on organizations adoption.