Towards logical level design of Big Data

Now-a-days with the enormous synthesize and increasing use in the arena of cloud computing, smart devices, and business intelligence, Big Data also has become a growing area of research. Yet in literature existing approaches regarding logical level designing of Big Data is very rare. Most are about representation of both semi-structured and structured data and from the perspective of schema-base. But Big Data is combination of structured, semi-structured and unstructured data and its inherent character is schema-less. In this paper, a semi-structured conceptual model GOOSSDM (Graph Object Oriented Semi Structured Data Model) has been undertaken to transform in JSON (Java Script Object Notation) schema in order to support logical level designing of Big Data. Further the logical level model is illustrated using a case study and implemented in a NoSQL document oriented database MongoDB. In the context, distinct logical characteristics of Big Data are recognized and inspected whether the required logical features are available in GOOSSDM or not.