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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

There are numerous services that make up the whole SQL Server environment, which you can run either on-premise or in the cloud. The core of the SQL Server is a database management system, which stores the data and provides us with the data operation engine, but the data also has to come in the SQL Server and it needs to be analyzed and represented. Therefore, we have companion services, such as Integration Services, which provide us the ETL solution for importing and cleaning the data before storing it on the SQL Server, Analysis Services, which is used for multidimensional modeling and data mining, and Reporting Services, which is a visualization part of the whole stack. No matter whether you choose the on-premise approach or the cloud services, there are always a number of offerings from the SQL Server that you can utilize for data science.

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