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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

The Microsoft Machine Learning R Services architecture

The architecture of R Server covers many components needed in order for the communication between R IDE or SQL Server and R engine to work properly.

Several components are involved in order to properly execute Transact SQL, R script, and return all the results back to T-SQL:

Figure 7

Launchpad is a new service in SQL Server 2016 that supports execution of external scripts using the external stored procedure from SQL Server. However, in SQL Server 2017, the Python launcher has also been introduced, making Launchpad generally available to the second non-SQL Server language. The idea behind Launchpad is that since the infrastructure is already prepared, the SQL Server should, in the future, support other languages as well, such as JavaScript and C++, opening this service not only to predictive analytics and machine learning...

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