Triad SQL Server User Group

The Triad SQL Server Users Group (TSSUG); is a forum where Microsoft SQL Server database administrators and developers meet to learn more about the product, share ideas and make contact with other similar individuals. Our group is run by SQL Server professionals for the benefit of anyone interested in participating in the group.
 
All of our meetings are free and open to anyone who is interested in sharing their knowledge of SQL Server. Our meetings are generally held on the last Tuesday of every other month, unless otherwise noted. Food is no longer being provided, however you are welcome to bring in your own.

Announcements

Next Meeting: Tue, Jul 31 2018

Mason DeCamillis Presents R in SQL Server

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVPURL: https://www.meetup.com/Triad-SQL-Server-Users-Group/events/smlwxlyxkbpc/

Bi-Monthly Meeting

When

iCal
UTC : Tue, Jul 31 2018 22:00 - 00:00
Event Time : Tue, Jul 31 2018 18:00 - 20:00 Eastern Daylight Time
Your Local Time: Tue, Jul 31 2018 22:00 - 00:00

Where

4821 Koger Blvd
Greensboro, North Carolina

Direction: None

Featured Presentation

Mason DeCamillis Presents R in SQL Server

Speaker: Mason DeCamillis

Summary: Mason DeCamillis specializes in data management and analysis with R, especially the development of R-based web applications using the Shiny framework, and more recently in the context of incorporating R for analysis steps as a part of larger database-driven applications. This session will: - cover the basics of installing and configuring R Services for SQL Server - discuss reasons for using R Services in-database - cover package installation options and processes for R Services - demonstrate basic use cases like generating analysis results and graphics

About Mason: Mason DeCamillis specializes in data management and analysis with R, especially the development of R-based web applications using the Shiny framework, and more recently in the context of incorporating R for analysis steps as a part of larger database-driven applications.

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