You're reading from SQL Server 2017 Machine Learning Services with R.

Product type Book

Published in Feb 2018

Publisher Packt

ISBN-13 9781787283572

Pages 338 pages

Edition 1st Edition

Languages

SQL

Concepts

Data Analysis

Authors (2):

Julie Koesmarno

Toma≈æ Ka≈°trun

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Table of Contents (12) Chapters

Preface

1. Introduction to R and SQL Server

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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Summary

Visual Studio 2017 is a powerful IDE for data scientists/developers to manage their code, unit testing, and version control. Combined with Visual Studio Team Services, they form a complete toolkit to execute Database Lifecycle Management, which can also be easily adapted to DevOps practices. This chapter describes in detail how you can integrate SQL Server Machine Learning Services with R in SQL Server Database projects, DevOps practices, and CI/CD workflows. Finally, you have also learned how to monitor a Prediction Model accuracy over time.

In the next chapter, we'll discuss how DBAs can also take advantage of Machine Learning Services with R.

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Authors (2)

Julie 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

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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