Last year, the Open Group released version 3.0 of the ArchiMate® standard, which provides a language with concepts for describing enterprise and solution architectures, a framework for organizing these concepts, a graphical notation for these concepts, and recommendations for viewpoints, which are visualization templates that address the concerns of particular stakeholders. The standard is public and free for end users. It can be extended through specialization of its concepts and relationships, and is supported by an increasing number of tools, consultancies and training organizations.
We use a fictitious—but realistic—case study to describe what we can do with the ArchiMate language. Each of the sections in this article presents one or more views of an ArchiMate model that tells a story about the collection and analysis of Big Data to create business value. Big Data consists of datasets that cannot be handled efficiently with traditional centralized data architectures due to their extensive volume, variety, velocity and variability. These characteristics demand scalable architectures for efficient storage, manipulation and analysis.