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SQL Server 2017 Machine Learning Services with R

You're reading from   SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
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Authors (2):
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Julie Koesmarno Julie Koesmarno
Author Profile Icon Julie Koesmarno
Julie Koesmarno
Toma≈æ Ka≈°trun Kaštrun Toma≈æ Ka≈°trun Kaštrun
Author Profile Icon Toma≈æ Ka≈°trun Kaštrun
Toma≈æ Ka≈°trun Kaštrun
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server FREE CHAPTER 2. Overview of Microsoft Machine Learning Server and SQL Server 3. Managing Machine Learning Services for SQL Server 2017 and R 4. Data Exploration and Data Visualization 5. RevoScaleR Package 6. Predictive Modeling 7. Operationalizing R Code 8. Deploying, Managing, and Monitoring Database Solutions containing R Code 9. Machine Learning Services with R for DBAs 10. R and SQL Server 2016/2017 Features Extended 11. Other Books You May Enjoy

Tools

There are three main options for operationalizing R code embedded in T-SQL. All of these tools are free:

  • SQL Server Management Studio (SSMS)
  • R Tools for Visual Studio (RTVS)
  • SQL Server Data Tools (SSDT)

This section provides an overview of how the tools can help you operationalize R code in SQL Server as part of workflows.

Using SSMS as part of operationalizing R script

SSMS is a powerful tool that allows you to operationalize your prediction analytics from the previous section. SSMS also provides the ability for you to manage various administrative tasks related to operationalizing R code in SQL Server and maintaining it, such as:

  • Managing permissions, as described earlier in this chapter.
  • Managing R packages (in...
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