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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

Summary

In this chapter, you learned the steps required to integrate an existing predictive analytics R code into resides outside of SQL Server R with the Extensibility Framework. You have also seen the simplicity and the power of the new PREDICT function in SQL Server 2017, which allows native scoring without having to install R. Managing the security required to run predictive analytics workloads is also important in prediction operations. You have learned how to add SQL queries to R projects using RTVS. Finally, you've discovered the different possibilities for integrating R code and prediction operations into your existing workflows as SQL Server stored procedures, SQL Server Agent jobs, PowerShell scripts, and SSIS projects.

With these new skills, we are ready for the next building block in managing data science solutions as part of database lifecycle: management practices...

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