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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 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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