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Normalization

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May 1, 2024 Updated May 10, 2025 17 minute read

Normalization is a fundamental concept that touches many fields, primarily involving the process of organizing and standardizing data. At a high level, it's about structuring data to reduce redundancy and improve data integrity, making information more efficient to use and analyze. This process is crucial in database design, where it helps prevent inconsistencies and anomalies when data is added, modified, or deleted. Beyond databases, normalization techniques are also vital in statistics and machine learning, where they help prepare data for analysis by transforming features to a comparable scale.

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Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Normalization.
A practical guide to database normalization, written by one of the pioneers of the field. covers all aspects of normalization, from the basics to advanced techniques.
A comprehensive book on database systems, which includes a chapter on normalization. is suitable for both practitioners and students.
A classic book on database design, which includes a chapter on normalization. is suitable for both practitioners and students.
A comprehensive book on data modeling and database design, which includes a chapter on normalization. is well-suited as a textbook for students and as a reference for practitioners.
A book that discusses common mistakes in SQL database design and implementation. includes a chapter on normalization.
A book that focuses on data warehouse design and implementation. includes a chapter on normalization.
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