How to Optimize Your Data Models

AnalystHub
Lucid Plexus
Published in
5 min readMay 23, 2024

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Photo by Martin Woortman on Unsplash

Data models are very important in organizing and structuring data within a database. While it may be tempting to haphazardly throw data into a database, doing so can pose challenges in terms of finding and utilizing the information effectively.

A well-designed data model serves as a blueprint, guiding the definition of structure, relationships, and rules for data.

This article explores different data models, focusing on the normalized and denormalized approaches, and sheds light on the importance of the data modeling process.

Normalized vs. Denormalized Structures — capellasolutions

Normalized tables, a process in database design that organizes tables to reduce redundancy and improve data integrity, adheres to five normal forms, ensuring efficiency, organization, and freedom from data anomalies.

The Five Normal Forms

First Normal Form (1NF): Ensures that the table has no repeating groups or arrays. Each cell contains only one value, and each record is unique.

Second Normal Form (2NF): Achieved when the table is in 1NF and all non-key attributes are fully functionally dependent on the primary key. This eliminates partial dependency.

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