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Plain English Explanation of Database Normalization
In the realm of database design, the concept of normalization plays a crucial role in structuring data efficiently to avoid duplication. Simply put, it's like creating a filing system that ensures you don't have multiple copies of the same document.
Understanding the Essence of Normalization
Imagine a table containing a list of employees and their countries of origin. Suppose every employee's row includes a lengthy country name, such as "Bosnia & Herzegovina." To avoid repetitive storage, normalization suggests creating a separate table for countries and assigning each country a unique identifier. Instead of storing "Bosnia & Herzegovina" 100 times, you simply store the number 45 (the country's identifier). This reduces data duplication and simplifies future changes.
Benefits of Normal Forms
Normalization is categorized into three forms:
Example of Normalization in Practice
Consider a scenario where we track employees' visited countries. Instead of storing the following table:
Person | CountryVisited | AnotherInformation | D.O.B. |
---|---|---|---|
Faruz | USA | Blah Blah | 1/1/2000 |
Faruz | Canada | Blah Blah | 1/1/2000 |
Applying 2NF, we create three tables:
Now, if Faruz visits another country, only a single row is added to Table 3, connecting Faruz's ID to the new country ID. This normalized approach provides flexibility and eliminates data redundancy.
Remember, during a job interview, interviewers may assess your understanding of normalization by asking you to explain its principles and demonstrate its implementation in a given scenario.
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