Why normalisation method is important in performing data analysis.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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1. Why normalisation method is important in performing data analysis.
Expert Solution
Step 1
First of all, we will look at what is normalization -
Data normalization is a technique that reorganizes data within a database so that users may effectively use that database for further analysis. It is the process of integrating data into a much more organized structure.
The process of data normalization is as follows -
- Remove any duplicate data that may exist within the collection of data. Because, redundant data may cause critical impact on data analysis since they are values that aren't necessary.
- Reconciling any data that appears to be contradictory. Data normalization is used to address and resolve conflicting information in datasets.
- Another step is data formatting. This transforms data into a format that enables for additional processing and analysis.
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