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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

SQL Server 2017 as a Data Science Platform

SQL Server is a relational database management system, but through the time it has evolved into much more. Right now, it's a very complex set of tools that work together to bring you superior experience while working with your data. Originally, SQL Server was not even written for the Windows operating system. The genesis of the SQL Server started with the OS/2 operating system in 1989 (it's a product that is nearly 30 years old). The first version of SQL Server available for Windows came in 1993. It was a version 4.21a.

Through various releases, SQL Server has introduced numerous features that can be utilized not only for regular database operations and production deployment of SQL Server, but also for the data science domain.

We will be covering the following topics in this chapter:

  • SQL Server server evolution
  • SQL Server Services...
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