Improving the application model and resolving emerging domain-related issues by. We illustrate our approach for deriving the big data architectures of different well-known big data systems. Mainly, domain driven design focuses on: The core domain and domain logic. Finally, the design rules define reusable design heuristics for designing an application architecture based on the selection of features of the family feature model and the reference architecture. The reference architecture represents a generic structure for various application architectures of big data systems. The family feature model is derived based on a domain analysis of big data systems and represents the common and variant features. Domain-driven design (DDD), an approach to software design, with its focus on a modeled domain and collaboration between domain. To this end, we propose a domain engineering approach in which a family feature model, reference architecture, and corresponding design rules are identified. To enhance the understanding of big data systems and support the architect in designing big data architectures, we propose a domain-driven design approach for deriving application architectures. In general, different application domains may require different big data systems.
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