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2 Database Design Theory Guides systematic improvements to database schemas General idea: Functional dependencies, decomposition, normal forms Express constraints on the data Use these to decompose
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To fill out functional dependencies and normal, follow these steps:

01
Identify all the attributes in your relation (table).
02
Determine the functional dependencies between these attributes by analyzing the data in the table. Functional dependencies describe the relationships between attributes, indicating which attributes are dependent on others.
03
Use the identified functional dependencies to remove any redundant data in the table. This is achieved by creating separate tables for attributes that can be derived from others.
04
Normalize the table by applying normalization rules. This involves breaking down the table into smaller, more manageable tables to eliminate data redundancy and improve data integrity.
05
Apply the normalization rules (such as first normal form, second normal form, etc.) to ensure that each table has a single theme and does not contain any repeating groups or partial dependencies.
06
Repeat the above steps for each relation (table) in your database.
6.1
Functional dependencies and normalization are essential for anyone involved in database design and management. This includes database administrators, database developers, and data analysts. By understanding and implementing functional dependencies and normalization, these individuals can improve the overall efficiency and integrity of the database system.
07
Database Administrators: Functional dependencies and normalization help DBAs optimize database performance, reduce data duplication, and ensure data consistency. This enables them to improve data storage, retrieval, and security.
08
Database Developers: Functional dependencies and normalization guide developers in creating well-structured and efficient databases. They help in organizing data and reducing redundancy, making it easier to manage and maintain the database.
09
Data Analysts: Functional dependencies and normalization allow data analysts to work with clean, reliable, and non-redundant data. This ensures accurate analysis, reporting, and decision-making based on the data.
In conclusion, understanding how to fill out functional dependencies and normalize data is crucial for efficient database management. It is especially important for database administrators, developers, and data analysts who work with databases on a regular basis. By following the step-by-step process and applying functional dependencies and normalization, they can create well-organized, reliable, and optimized databases.
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Functional dependencies in a database are relationships between attributes of a relation. Normal forms are ways to eliminate redundancy and anomalies in a database design.
Database administrators, data analysts, and anyone involved in database design and management may be required to file functional dependencies and normal.
Functional dependencies can be identified by analyzing data dependencies, while normalization involves applying specific rules to ensure data integrity.
The purpose of functional dependencies and normal forms is to improve data quality, reduce redundancy, and prevent anomalies in a database.
Information such as attributes, relationships, and dependencies within a database must be reported on functional dependencies and normal forms.
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