You're reading from Data Modeling with Microsoft Excel

Product typeBook

Published inNov 2023

PublisherPackt

ISBN-139781803240282

Edition1st Edition

Concepts

Data Analysis

Author (1)

Bernard Obeng Boateng

Denormalized and normalized data

Denormalized data combines redundant data into one table while normalized data stores related data in separate tables. Each type has its pros and cons when analyzing data. However, for data modeling, normalized data is ideal. We will go into the process of converting denormalized data into normalized data in the next section.

The following table lists the important differences between normalization and denormalization:

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Data Modeling with Microsoft Excel

Published in: Nov 2023Publisher: PacktISBN-13: 9781803240282

Author (1)

Bernard Obeng Boateng

Bernard Obeng Boateng is a Microsoft Excel MVP, Microsoft Certified Trainer, with over 10 years work experience in Banking, Insurance and Business Development. He is founder of Finex Skills Hub an approved Training Provider of the Financial Modeling Institute, Canada. Finex Skills Hub runs the Finex Project in Ghana, a pro bono student training outreach program for students in Data Analytics and Financial Modeling. Bernard also provides consultancy services for SMEs (start-ups and existing) in Financial Management, Business Planning and Research. He has an active audience online with about 17,000 followers on his LinkedIn Account. where he shares tips and tricks on Microsoft Excel and other Office Apps.
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Criteria	Normalized Data	Denormalized Data
Definition	Data is organized in such a way that each piece or dimension of the data is stored in only one place in separate tables.	Data is organized in such a way that multiple pieces of information are stored together in one place.
Duplication	There is minimal duplication...

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Denormalized and normalized data

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