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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

Using R for data transformation

R is a programming language oriented on statistical and data science computations. Although R is quite old, its popularity has been growing in recent years together with more projects oriented on statistics and predictions. Starting in 2016, Microsoft introduced R Services as a part of SQL Server. SQL server 2017 then renamed R Services to Machine Learning Services because Python support was added to SQL Server 2017.

While R is very popular, many data scientists warn against using languages such as R or Python. The main argument is that both languages are too syntax-oriented, hence the developer handles the source code and forgets to solve the assigned statistical or data science problem. The same data scientists prefer more drag-and-drop-oriented technologies. For developers who mainly want to work with Microsoft technologies but are not familiar...

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