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As we all know, database normalization is a process that allows you to organize the data in a database and it allows you to bring in front plenty of amazing mechanics that are more than impressive. On top of that, this is designed in order to improve data quality and bring in front amazing, high quality and professional mechanics that will allow you to not only create the tables, but also provide them with a lot of flexibility and eliminate the dependency or redundancy when such a thing is needed!

Which are the best normalization examples?

There are a wide range of database normalization examples, all of which are designed to help you learn more about how this works and at the same time you will receive an amazing value which brings in front astounding mechanics on its own, something that is truly impressive! Here are some great examples:

“R = {Student ID, Last Name, First Name, Course ID, Course Section, Course Name, Grade, Professor Last Name, Professor First Name, Bldg, Office #}”

“Student_ID → Student_Major

Student_ID, CourseNumber, Semester → Grade

Course_Number, Section → Professor, Classroom, NumberOfStudents

SKU → Compact_Disk_Title, Artist

CarModel, Options, TaxRate → Car_Price”

The normalization process, pretty much like quality data management are an important portion in the database development process, because many times during normalization designers will be able to understand how their data is interacting with the database, and that on its own manages to bring in front an amazing value at all times.

Thanks to these data quality assessment tools you can also access some amazing results because you can easily identify the database structure issues, all of which can help you address the conceptual issues and take your database to a new level.

What can you find in the database normalization examples?

The relation model that can be found in database normalization includes multiple relations, which at their own turn are made out of attributes. It’s important to note that each attribute is basically a column and the value must be simple, at the same time the entire set of values will need to bring in the same data type.

It comes without mentioning that, in order to improve data quality, all attributes must be unique, as this on its own brings in plenty of great benefits. In addition to that, no two tuples are identical, and that’s very impressive.

As you know, the development process requires you to gather the business requirements, develop the conceptual model, convert the model to a set of relations, then you have to normalize the relations in order to delete any anomalies and implement the database in the end. With help from our database normalization examples you will be able to further understand what it takes to normalize a site, what needs to be done in order to get such results, so don’t hesitate and try our examples or create new ones, they will allow you access to some data quality assessment tools. Used properly, these will allow you to grow your business, so don’t hesitate and keep that in mind, you will enjoy the results guaranteed!

The author:

RingLead offers a complete end-to-end suite of products to clean, protect and enhance company and contact information, leading to improved organizational efficiency, reliable business intelligence, and maximized ROI on CRM and marketing automation investments.Since 2003 RingLead has helped solve the dirty data problems of large enterprises, Fortune 500 companies and small businesses across the globe.