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Chapter 4 Normalization 1 Data Normalization Formal process of decomposing relations with anomalies to produce smaller, well-structured and stable relations Primarily a tool to validate and improve
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01
Decide on a data model that represents the structure of your data.
02
Identify any repeating groups or redundant data in your dataset.
03
Break down the dataset into smaller, atomic units of data.
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Eliminate any data redundancy by organizing the data in a systematic manner.
05
Apply normalization rules such as First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF) to ensure data integrity.
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Consider using tools or software that automate the data normalization process.
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Regularly review and update the normalized data as new data is added or existing data is modified.

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Data normalization - csc refers to the process of organizing and structuring data in a database to reduce redundancy and improve data integrity.
Data normalization - csc must be filed by companies or organizations that need to ensure consistency and accuracy of their database.
To fill out data normalization - csc, one must analyze the database, identify redundant data, and apply normalization rules to eliminate duplication.
The purpose of data normalization - csc is to optimize database efficiency, reduce data anomalies, and improve data quality.
Information such as data tables, relationships between tables, attributes, and normalization levels must be reported on data normalization - csc.
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