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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

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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