The goal of data modeling is to formally explore the nature of data, so that you can figure out what kind of storage you need, and what kind of processing you can do on it. The goal of data management is to figure out what kind of infrastructure support you would need for the data. Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models.
We need to take into consideration of Data Ingestion, Data Storage, Data Operations, Data Scalability and Security for modelling of Big Data. We have modeled significant number of Big Data systems considering all the relevant inputs to proficiently manage the data.