SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics
By 作者: Tomaz Kastrun – Julie Koesmarno
ISBN-10 书号: 1787283577
ISBN-13 书号: 9781787283572
Release Finelybook 出版日期: 2018-02-27
pages 页数: 338
Book Description to Finelybook sorting
R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment.
This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services.
Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power.
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
What You Will Learn
Get an overview of SQL Server 2017 Machine Learning Services with R
Manage SQL Server Machine Learning Services from installation to configuration and maintenance
Handle and operationalize R code
Explore RevoScaleR R algorithms and create predictive models
Deploy, manage, and monitor database solutions with R
Extend R with SQL Server 2017 features
Explore the power of R for database administrators
Tomaž Kaštrun 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.
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.