Why is Data Modeling Important in Data Warehousing ?

Data modeling is probably the most labour intensive and time-consuming part of the development process. The goal of the data model is to make sure that all data objects required by the database are completely and accurately represented. Because the data model uses easily understood notations and natural language, it can be reviewed and verified as correct by the end-users.

In computer science, data modeling is the process of creating a data model by applying a data model theory to create a data model instance. A data model theory is a formal data model description. In data modeling, we are structuring and organizing data. These data structures are then typically implemented in a database management system. In addition to defining and organizing the data, data modeling will impose (implicitly or explicitly) constraints or limitations on the data placed within the structure.

Managing large quantities of structured and unstructured data is a primary function of information systems. Data models describe structured data for storage in data management systems such as relational databases. They typically do not describe unstructured data, such as word processing documents, email messages, pictures, digital audio, and video.

You May Interest

What is Explorer in Blockchain ?

What is Sovrin Foundation ?

What is Cryptocurrency Airdrop?

What is Cryptocurrency ERC20 ?

What is Cryptocurrency White Paper?