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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

Questions

  1. Which SQL Server versions and editions have machine learning services?
    Machine learning services (formerly called R Services) are offered within SQL Server from version 2016. The machine learning services can be installed with every edition of SQL Server.
  2. How do we configure machine learning services?
    Machine learning services must be enabled by an SQL Server administrator using the sp_configure 'external scripts enabled' stored procedure.
  3. What is the best method of data exploration?
    There isn't a best option. Every developer prefers a different technology for basic exploration of the data. For example, descriptive statistics, and uniqueness of values. Alternatively, to look at the amount of NULLs in columns, T-SQL queries or the SSIS Data Profiling Task are very useful. For more sophisticated exploration, we will probably use languages such as R or Python...
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