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Hands-On Data Science with SQL Server 2017

You're reading from  Hands-On Data Science with SQL Server 2017

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Pages 506 pages
Edition 1st Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Data Science Overview 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Denormalizing data

Data denormalization is the process of adjusting data from a structure that is better for transactional processing to a structure that is better for reporting or data science purposes. This section provides a brief overview of data normalization and looks at why we denormalize, what we denormalize, and how to denormalize.

Relational normalization

In relational databases, data should be saved in so-called normalized structures. The normalization of data structures is a process that discovers the best structure that is resistant against any uncertainties in data, user change requests, and so on. The normalization itself is controlled by a set of rules known as normal forms.

Every normal form describes how...

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