Question:

Define the term data independence. What are the different levels of data independence?

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Data independence is essential for database flexibility and scalability, allowing changes at the storage and schema level without disrupting application functionality.
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Solution and Explanation

Step 1: Define Data Independence.
Data independence refers to the capacity to change the schema at one level of a database system without having to change the schema at the next higher level. It is a key feature of the relational database model, providing flexibility in data management and storage.
Step 2: Levels of Data Independence.
There are two main types of data independence: - Physical Data Independence: This refers to the ability to change the physical storage of data without affecting the logical structure. For example, moving data from one storage device to another does not affect how the data is accessed by users.
- Logical Data Independence: This is the ability to change the logical schema without affecting the external schema or application programs. For example, adding new fields or changing the database structure should not affect how users interact with the data.
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