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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

Integrating R workloads and prediction operations beyond SQL Server

In this section, you will learn how to include R workloads and prediction operations that you have created in the previous sections beyond SQL Server. We will discuss how to run the workloads and operations in PowerShell, SQL Agent Job, and SQL Server Integration Services (SSIS).

Please note that you can also execute these workloads/prediction operations using SQLCMD, C# within SSIS, Azure, and also Bash on Linux. This discussion is beyond the scope of this chapter.

Executing SQL Server prediction operations via PowerShell

Assuming that you have already created the stored procedure that executes R script from SQL Server, such as [dbo].[uspTrainTipPredictionModel...

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