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You're reading from SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787283572

Length 338 pages

Edition 1st Edition

Languages

Tools

R Services

Concepts

Data Analysis

Authors (2):

Julie Koesmarno

Toma≈æ Ka≈°trun Kaštrun

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Table of Contents (12) Chapters

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

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Introduction to R and SQL Server

SQL Server 2016 came with great new features, and among them was R integration into SQL Server, partly with advanced analytics and partly with new programmability capabilities. Microsoft R Services for SQL Server is part of the family of new extensibilities for highly scalable and parallel advanced analytics. R Services allows you to perform advanced analytics (statistical, multivariate statistics, predictive analytics, machine learning, and deep learning) on large quantities of data stored in the database. Microsoft published R Services as part of Microsoft R Server (MRS), which was specially designed for reading data directly from the SQL Server database within the same SQL Server computational context.

We will cover the following aspects in this chapter:

Using R prior to SQL Server 2016
Microsoft's commitment on open source R language
Boosting analytics with SQL Server R integration
Outline of the book

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SQL Server 2017 Machine Learning Services with R

Published in: Feb 2018

Publisher: Packt

ISBN-13: 9781787283572

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Authors (2)

Koesmarno

Julie Koesmarno is a senior program manager in the Database Systems Business Analytics team, at Microsoft. Currently, she leads big data analytics initiatives, driving business growth and customer success for SQL Server and Azure Data businesses. She has over 10 years of experience in data management, data warehousing, and analytics for multimillion-dollar businesses as a SQL Server developer, a system analyst, and a consultant prior to joining Microsoft. She is passionate about empowering data professionals to drive impacts for customer success and business through insights.

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Toma≈æ Ka≈°trun Kaštrun

Toma Katrun is a SQL Server developer and data scientist with more than 15 years of experience in the fields of business warehousing, development, ETL, database administration, and query tuning. He holds over 15 years of experience in data analysis, data mining, statistical research, and machine learning. He is a Microsoft SQL Server MVP for data platform and has been working with Microsoft SQL Server since version 2000. He is a blogger, author of many articles, a frequent speaker at the community and Microsoft events. He is an avid coffee drinker who is passionate about fixed gear bikes.

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