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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

Overview of SQLCLR

Starting in a new millennium, Microsoft introduced .NET Framework. The .NET Framework is a runtime environment that serves all aspects of code running into it, and it is also a rich object model, encapsulating almost any common interfaces between an application and the operating system's APIs. This may include working with disk folders and files, memory, or other peripherals such as a network or a mouse. As well as these features, the runtime itself has more competencies, such as type-safety checking, type casting, and exception management.

The .NET Framework soon became a very popular environment. This is partly because it is rich, but it is also because Microsoft provided several languages that can be used to develop applications, websites, or even Windows services. Nowadays, the most expanded and commonly used language is C#, the language built on top...

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