Data Modeling is a way to structure and organize the data so that it can be easily used by the databases. Unstructured data can be found in word processing documents, email messages,audio or video files,design programs.Data modeling does not want these " ugly data ", rather, data modeling wants data is all made up in a nice, neat package for processing by a database.So in a way,data modeling concerned with how the data looks.
Data Modeling is routinely used in conjunction with the database management system. Data has been modeled and made ready for this system can be identified in various ways, according to what they represents and how they relate to other data.
The idea is to make the data as presentable as possible, so analysis and integration can be done as little effort as possible.
we can also think the data modeling as the instructions for the building database. Concentrate on the word Model, you will get what we're going after here. To make a " pretty " database, you will want to follow a model as a means towards your desire end.
Say For Example,,
If you want to analyze how many people in a given congressional district voted in the last election,you will naturally want to include a column for which party each person voted.That analysis will be very valuable to the political leader.And its a kind of detail that you can build into a database while creating from the ground up, by instruction the database management system to include that column of information in the resulting database. If you wanted to analyze that information specifically but didn't include a column for it in your database, you'd spend a lot of time for collecting the data -effort would not be necessary if you had the data model in a first place.
So, Data Modeling is therefore very important skill to implement when building database.
(Source: http://www.youtube.com/watch?v=b2n4d-L6Qfg )
Data Modeling is routinely used in conjunction with the database management system. Data has been modeled and made ready for this system can be identified in various ways, according to what they represents and how they relate to other data.
The idea is to make the data as presentable as possible, so analysis and integration can be done as little effort as possible.
we can also think the data modeling as the instructions for the building database. Concentrate on the word Model, you will get what we're going after here. To make a " pretty " database, you will want to follow a model as a means towards your desire end.
Say For Example,,
If you want to analyze how many people in a given congressional district voted in the last election,you will naturally want to include a column for which party each person voted.That analysis will be very valuable to the political leader.And its a kind of detail that you can build into a database while creating from the ground up, by instruction the database management system to include that column of information in the resulting database. If you wanted to analyze that information specifically but didn't include a column for it in your database, you'd spend a lot of time for collecting the data -effort would not be necessary if you had the data model in a first place.
So, Data Modeling is therefore very important skill to implement when building database.
(Source: http://www.youtube.com/watch?v=b2n4d-L6Qfg )
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