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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

Creating CLR aggregations

As Chapter 5, Data Exploration and Statistics with T-SQL described, SQL Server provides a rich set of very feasible built-in aggregate functions to fulfill our statistical needs. However, for deeper insight into our data, the list of built-in functions could be insufficient. This section is a walkthrough example of how to create our own custom aggregation using C# and the CLR aggregate SQL Server object.

Example goal and assignment

In Chapter 5, Data Exploration and Statistics with T-SQL, we learned about variance as well as the rate of parameter scattering. Let's revisit the following formula:

We can generalize the preceding formula. If we replace the power of 2 with (almost) any number, k...

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