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What is Data Normalization: How It Works 📊
It constitutes the practice of organizing in a systematic fashion that reduces redundancy, duplication, and improves integrity. It is commonly found in relational databases, analytics, business intelligence (BI) systems, and software development. With respect to businesses, data normalization promotes the accuracy and uniformity of information which is critical during strategic planning and decision making. For developers, it is a means of storage structure optimization, system performance enhancement, and easing maintenance programming.
The aim of this article is to convey a straightforward description of what is data normalization, discuss its primary types, and describe principles alongside application examples.
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