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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

R and SQL Server 2016/2017 Features Extended

SQL Server 2016 and 2017 provide a lot of new and improved query performance capabilities, extensibility features, security features, and built-in/native capabilities that are useful for developers, DBAs, and data scientists. These new features and capabilities can be used together with machine learning services in SQL, bringing a powerful data science solution as well as making the life of the developer/data scientist much easier.

This chapter will walk you through a few unique scenarios to show the combined power of R and other built-in capabilities in SQL Server. These scenarios include JSON built-in capabilities to show how we work with IoT data, PolyBase to illustrate beyond relational data sources, and a large amount of data with the ColumnStore index. We will dive into these scenarios and produce data visualization and predictive...

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