Reference architectures are a key research topic in business information systems. They try to simplify software development by reusing architectural and software components. But reusability leads also to a trade-off in making reference architectures on a higher level to reuse it in many domains and applications. Or to concentrate them on a subject and hence easier to reuse.
In this blog post we discuss, whether big data references architectures are really needed. Our hypothesis is that current big data reference architectures are not sufficient to provide real benefit for implementing big data projects.
This article is structured as follows. First we give a brief introduction about reference architectures. In the remaining parts we show existing work for big data reference architectures and discuss their value for big data projects as well as the needs of other approaches.