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πŸ“

Data Science with Microsoft SQL Server 2016

✍ Scribed by Buck Woody, Danielle Dean, Debraj GuhaThakurta, Gagan Bansal, Matt Conners and Wee-Hyong Tok

Publisher
Microsoft Press
Year
2016
Tongue
English
Leaves
90
Category
Library
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✦ Synopsis

R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it’s a rich ecostructure with advanced analytic capabilities. Microsoft SQL Server R Services combines these environments, allowing direct interaction between the data on the RDBMS and the R language, all while preserving the security and safety the RDBMS contains. In this book, you’ll learn how Microsoft has combined these two environments, how a data scientist can use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions. Topics included: Microsoft SQL Server R Services β€’ An end-to-end data science process example β€’ Building a customer churn solution β€’ Predictive maintenance and the Internet of Things β€’ Forecasting.

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