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CSE 544 Principles of Database Management SystemsLecture 3 Schema Normalization CSE 544 Winter 20181Announcements Project groups due on Friday First review due on Tuesday (makeup lecture) Run git
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To fill out lecture 3 schema normalization, follow these steps:
02
Identify the attributes of the schema.
03
Determine the functional dependencies between these attributes.
04
Apply normalization rules to eliminate redundancy and ensure data integrity.
05
Split the schema into multiple tables based on the normalized form achieved.
06
Define primary and foreign key relationships between the tables.
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Populate the tables with the appropriate data based on the schema's requirements.

Who needs lecture 3 schema normalization?

01
Lecture 3 schema normalization is beneficial for database administrators, database designers, and developers.
02
It is important for those who want to optimize database performance, ensure data integrity, and reduce data redundancy.
03
By normalizing the schema, it becomes easier to manage and modify the database structure, improve query efficiency, and minimize storage requirements.
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Lecture 3 schema normalization is a process in database design that organizes data in a database to reduce redundancy and improve data integrity.
Database administrators and developers are typically responsible for implementing lecture 3 schema normalization.
To fill out lecture 3 schema normalization, data analysts can follow normalization rules such as eliminating repeating groups and ensuring data dependencies are correct.
The purpose of lecture 3 schema normalization is to improve database performance, reduce data redundancy, and enhance data integrity.
Information such as entity attributes, keys, relationships, and dependencies must be reported on lecture 3 schema normalization.
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