Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
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
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server 2. Overview of Microsoft Machine Learning Server and SQL Server FREE CHAPTER 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image