There are some goals in mind when undertaking the data normalization process. Taking into account all the different explanations out there, data normalization is essentially a type of process wherein data within a database is reorganized in such a way so that users can properly utilize that database for further queries and analysis. So what is normalized data in the first place? A data normalization definition isn’t hard to find, but settling on a specific one can be a bit tricky.
In the ongoing effort to use big data, you may have come across the term “data normalization.” Understanding this term and knowing why it is so important to business operations today can give a company a real advantage as they go further in-depth with big data in the future. Collecting, storing, and analyzing information has become a top priority for organizations, which means that companies are building and utilizing databases to handle all that data. It’s safe to say that we live in the era of big data.
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