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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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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 Services and their use with data science

We will first start with SQL Server Integration Services. SQL Server analysis will be covered later. We will also be discussing Reporting Services, Power BI Report Server and machine learning services.

SQL Server Integration Services

SQL Server Integration Services (SSIS) was first introduced with SQL Server 2005, which was a major release, where Microsoft revised most of the Sybase code into Microsoft code. Numerous changes did happen in the background of the SQL Server and three main business intelligence services were introduced, SSIS being one of them. The concept of integration service used with SQL Server was, however, introduced with SQL Server 7.0, known as Data...

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