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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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Summary

SQL Server 2016 and SQL Server 2017 are packed with useful features, from JSON, PolyBase, to high performance features, such as the ColumnStore index and memory-optimized tables. Most of these features are compatible and can enhance your advanced analytics experience. In this chapter, you have learned the steps for creating forecast and seasonal trends of EMS incidents in Austin and Travis County. We used both JSON data source and CSV files in Azure Blob Storage. Finally, you also have learned how to make use of ColumnStore and memory-optimized tables to improve performance of R Services.

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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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