What is the primary goal of data normalization in databases?

Prepare for the ITGSS Certified Advanced Professional: Data Analyst Exam with multiple choice questions and detailed explanations. Boost your skills and ensure success on your exam day!

The primary goal of data normalization in databases is to reduce redundancy and improve data integrity. Normalization is a systematic process that organizes data in a database to minimize duplication and dependency. By structuring data into well-defined tables and establishing relationships, normalization ensures that data is stored in a way that maintains consistent, accurate information.

When redundancy is minimized, there is less risk of data anomalies occurring, such as update, insertion, or deletion anomalies. This helps maintain the integrity of the data, ensuring that any changes made are accurately reflected throughout the database without inconsistencies. Overall, the key aim of normalization is to create an efficient and reliable data structure that supports effective data management and retrieval while safeguarding the accuracy of the data.

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