Every day quintillion bytes of data are created, and this pace is accelerating at a daily rate. With so much information at our disposal, it is becoming increasingly important for organizations and enterprises to access and analyze the relevant data to predict outcomes and improve services. In order to access the data properly and extract the most out of it, it is essential to model your data correctly. Data modeling tools become critical here because they enable organizations to make data-driven decisions and meet varied business goals.
What is Data Modeling?
Data modeling is the process of visualizing and representing data for storage in a data warehouse. The modeling itself can include diagrams, symbols, or text to represent data and the way that it interrelates. Because of the structure that data modeling imposes upon data, the process of data modeling subsequently increases consistency in naming, rules, semantics, and security, while also improving data analytics. The goal is to illustrate the types of data used and stored within the system, the relationships among these data types, the ways the data can be grouped and organized and its formats and attributes.