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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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The Microsoft Machine Learning R Services architecture

The architecture of R Server covers many components needed in order for the communication between R IDE or SQL Server and R engine to work properly.

Several components are involved in order to properly execute Transact SQL, R script, and return all the results back to T-SQL:

Figure 7

Launchpad is a new service in SQL Server 2016 that supports execution of external scripts using the external stored procedure from SQL Server. However, in SQL Server 2017, the Python launcher has also been introduced, making Launchpad generally available to the second non-SQL Server language. The idea behind Launchpad is that since the infrastructure is already prepared, the SQL Server should, in the future, support other languages as well, such as JavaScript and C++, opening this service not only to predictive analytics and machine learning...

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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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