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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

Data science is a very broad term that includes numerous tasks in regard to data management and processing. In this chapter, we have covered how these individual domains can be addressed with SQL Server and how SQL Server can be used as a data science platform in the enterprise. Although SQL Server is not primarily considered to be a data science tool, there are numerous data science tasks, where in SQL Server offers very mature services such as the importing and cleaning of data, integration with big-data systems, and rich visualizations, either with reporting services or with PowerBI Report Server.

In the next chapter, we'll go deeper into the SQL Server service overview and how all the services relate to individual data science domains and tasks and how you can fully utilize SQL Server in this new field.

You have been reading a chapter from
Hands-On Data Science with SQL Server 2017
Published in: Nov 2018
Publisher: Packt
ISBN-13: 9781788996341
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