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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

Limitations and performance considerations

The previous section explained the concept of creating custom aggregations. The custom aggregation was then compared to T-SQL script, calculating the same value as the statistical moment. It is not straightforward to decide which is a better way of working. When custom aggregation is developed, it's very simple to use this in the same way as built-in aggregate functions. However, the development of the custom aggregation becomes tricky very quickly, especially when a database developer is not familiar with .NET concepts and languages such as C#. Consequently, the first limitation that we face is in the development itself.

Development issues and risks

As mentioned in the introduction...

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