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This document discusses the principles of relational database design, focusing on normalization and the elimination of anomalies through schema decomposition into various normal forms. It outlines
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Logical database design is a process of converting the conceptual data model into a logical data model that represents the structure of a database. It involves defining the tables, columns, relationships, and constraints of the database.
The database designers or developers are typically responsible for creating and filing the logical database design part.
To fill out the logical database design part, you need to analyze the requirements of the system and design the structure of the database using appropriate data modeling techniques. This includes identifying entities, attributes, relationships, and constraints, and documenting them in a structured format.
The purpose of the logical database design part is to create a blueprint of the database structure that reflects the requirements of the system. It helps in organizing data efficiently, enforcing data integrity, and providing a foundation for the physical implementation of the database.
The logical database design part should include the following information: entity-relationship diagrams, attribute definitions, relationship definitions, key constraints, referential integrity constraints, and any other relevant information that describes the structure and constraints of the database.
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