Skip to main content
Free carbon-neutral shipping over $39.99  ·  Thousands of books on sale — sale ends soon

SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics

by Julie Koesmarno, Tomaz Kastrun

Packt Publishing

Paperback 338 pages English Feb 27, 2018

(No reviews yet) Write a Review
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
Develop and run efficient R scripts and predictive models for SQL Server 2017 Key Features: Learn how you can combine the power of R and SQL Server 2017 to build efficient, cost-effective data science solutionsLeverage the capabilities of R Services to perform advanced analytics-from data exploration to predictive modelingA quick primer with practical examples to help you get up- and- running with SQL Server 2017 Machine Learning Services with R, as part of database solutions with continuous integration / continuous delivery.Book Description: 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.What You Will Learn: Get an overview of SQL Server 2017 Machine Learning Services with RManage SQL Server Machine Learning Services from installation to configuration and maintenanceHandle and operationalize R codeExplore RevoScaleR R algorithms and create predictive modelsDeploy, manage, and monitor database solutions with RExtend R with SQL Server 2017 featuresExplore the power of R for database administratorsWho this book is for This book is for data analysts, data scientists, and database administrators with some or no experience in R but who are eager to easily deliver practical data science solutions in their day-to-day work (or future projects) using SQL Server.
Author:
Julie Koesmarno, Tomaz Kastrun
Publisher:
Packt Publishing
Publication Date:
Feb 27, 2018
Number of pages:
338 pages
Language:
English
Binding:
Paperback
ISBN-10:
1787283577
ISBN-13:
9781787283572