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

Product typeBook
Published inFeb 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781787283572
Edition1st Edition
Languages
SQL
Tools
R ServicesSQL Server
Concepts
Data Analysis
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Authors (2):
Julie Koesmarno
Julie Koesmarno
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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.
Read more about Julie Koesmarno

Tomaž Kaštrun
Tomaž Kaštrun
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Tomaž 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.
Read more about Tomaž Kaštrun

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Tools

There are three main options for operationalizing R code embedded in T-SQL. All of these tools are free:

  • SQL Server Management Studio (SSMS)
  • R Tools for Visual Studio (RTVS)
  • SQL Server Data Tools (SSDT)

This section provides an overview of how the tools can help you operationalize R code in SQL Server as part of workflows.

Using SSMS as part of operationalizing R script

SSMS is a powerful tool that allows you to operationalize your prediction analytics from the previous section. SSMS also provides the ability for you to manage various administrative tasks related to operationalizing R code in SQL Server and maintaining it, such as:

  • Managing permissions, as described earlier in this chapter.
  • Managing R packages (in...
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SQL Server 2017 Machine Learning Services with R.
Published in: Feb 2018Publisher: PacktISBN-13: 9781787283572
© 2018 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
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.
Read more about Julie Koesmarno

author image
Tomaž 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.
Read more about Tomaž Kaštrun

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