Towards an automatized way for modeling big data system architectures

Abstract

Although the term of big data and related technologies received lots of attention in recent years, many projects are less successful than anticipated. One of the most crucial steps in the planning of a system includes the modeling of the underlying architecture. However, as of now, no standardized approach exists that facilitates the modeling of big data system architectures (BDSA). In this research, a systematic approach is presented that delivers a foundation towards a standard for the modeling of BDSA. Further, a prototype is introduced that automatizes the creation of those models reducing the required effort and simultaneously increasing the maintainability.