What is data modeling?

Despite its name, data modeling has nothing to do with how to mined and ready for the night in the city. Or is he doing? In fact, this description may not be too far away. You can find unstructured data in text processing documents, e -mail messages, audio or video files and design programs. Data modeling does not want this "ugly" data; Rather, data modeling wants data that is all in a nice, neat package for database processing. In a way, data modeling concerns what the data looks like.

Data modeling is commonly used in conjunction with database management. Data that has been modeled and prepared for this system can be identified in different ways, for example, according to what they represent or how they relate to other data. The intention is to make data as favorable as possible, so analysis and integration can be done with the least effort as Necessary.

We can also think about data modeling as instructions for creating a database. GatheringTale on the model of the word and get what we go here. If you want to create a "nice" database, you want to follow the model as a means of the desired end.

For example, if you want to analyze how many people voted in the last elections in the Congress district, you will naturally want to include a column for which each person voted for. This kind of analysis will be valuable for members of all political parties, and it is a kind of detail that you can install into the database from the ground up and instruct the database management system to include this column of information into the resulting database. If you would like to analyze this information specifically, but do not include a column in your database, you would spend a lot of time summarizing data - efforts you wouldn't be necessary if you follow the data model first. Data modeling is therefore a very important skill for implementation when creating databases.