We are dealing with the entities and attributes or we can say that tables and columns of the records for a companies and organization. If we are going to have the same tables and columns are similar to the other existing tables and columns, then it will be difficult for our system to understand the logic without any confusion. It is not easy and convenient for us to get the best results from our database queries and commands without any repetitions and redundant data and dependent data. At the enterprise level we are handling the large database, for the better maintenance and better performance we have to reduce the duplicates records and dependencies as well from our database as soon as possible. This could be possible only when we are going to arrange the database in such a manner that we can easily find out the required data or records without any confusions and delay. This could be done by having the normalization in our database up to third normal form to get better results.
Normalization is the process of reducing the duplicity and dependency among the attributes within the table. Normalization is the method to decompose the large table into the small tables to minimize the duplicate records. If we are good to lower down the number of the similar types of the attributes in another table without any partial and transitive dependency from the table one by one. Non-normalized data can lead us to a big problem in our database.
Here is the explanation on the normalization forms. Let’s start with the first normal (1NF). If we are violating the 1NF then it would be responsible for the large number of the records in the table, which will be creating the unused space and wastage of the useful memory. These problems will be results into the complex and unused SQL queries and then it will lead to the repeated values of the records over and over with lot of dependencies. Normalization helps us to separate the similar items in the same table with its own keys.
Second form of normalization is useful to create the each column dependent on their primary key. It will lead us to the redundant data in our records. So, this will create the overhead and difficult modifications. 2NF is the violation of the 3NF. But once we can get rid of the 2NF then we can get 3NF, which is more beneficial for us to get the best results from our Relative Database Management System (RDBMS).
Third normalization form is more useful than any other form of normalization, which means each columns should be directly depend on the primary key. It will create the redundancies in our database. It will be a problematic for us to update the records and that will also create the complexity.
We should pay more attention while designing the database and processes. If we are aware of the principles of the normalization and denormalization, then we can design in such a way to get rid of the update, insert and delete anomalies in the database. We should know in detail about these processes of normalization and also about the denormalization as well to reduce the dependencies and redundancy from our database to help it out in better performance and results. I will try my best to get more information about these terms for get benefits from the principles of the normalization and denormalization.
Leave a Reply