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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

Summary

In this chapter, we covered an overview of .NET development on SQL Server. Using .NET, custom objects help us to enhance SQL Server's capabilities in many ways. This is especially true when we need to create our own aggregation functions, as .NET programming is the only way to do it. However, overusing CLR objects may also lead to many issues and disappointed users.

The first part of this chapter was dedicated to providing an overview of SQLCLR. Here, we looked at how this works and when it is beneficial to use it. We then started to create an empty end-to-end SQL Server Database Project to demonstrate the development life cycle.

After the introductory section, we explored development in more detail. During this section, we developed and published our own CLR aggregation calculating statistical moments. The additional knowledge taken from this section describes what...

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