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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

Choosing the edition

SQL Server is no longer just a database, but has grown into a database platform - an ecosystem - which consists of many additional services (such as SSRS, SSAS, and SSIS) that supports and also extends the capabilities of modern database usage. When installing Machine Learning R Services (in a database), one should think about the ecosystem environment and which additional services would be used along with R Services. If the business need requires advanced R (or Python) integration and analytics, the Enterprise edition is the right one. If only basic R integration is needed, the standard version will cover the needs. Also, think along the lines of other analytical tools if you need analysis services or reporting services, and which developments tools would also be needed for that (for example, MDX on top of OLAP cubes and running R code against the same data...

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