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Hands-On Data Science with SQL Server 2017

You're reading from  Hands-On Data Science with SQL Server 2017

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Pages 506 pages
Edition 1st Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Data Science Overview 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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