Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind.
Data modeling is a complex science that involves organizing corporate data so it fits the needs of business processes. It requires the design of logical relationships so the data can interrelate with each other and support the business. The logical designs are then translated into physical models that consist of storage devices, databases and files that house the data.
Author: Mary Shacklett