Jacksonville SQL Server Users Group

Welcome to the Jacksonville SQL Server Users Group

The Jacksonville SQL Server Users Group (JSSUG) was founded by Brian Knight in January 2003, creating a community for database developers and administrators in the Jacksonville area. The goal of JSSUG is to share knowledge, best practices, and network. Today, it is a community focusing on development, administration, and business intelligence. Free meetings are open to the public every month. Meetings include presentations, technology announcements, local job opportunities, and quick brainstorming/guidance for users experiencing difficulty. An after event for additional networking, shop talk, and users desiring more detailed guidance for specific challenges is available following the meeting.

Welcome

Our typical Monthly meeting structure:

6:00PM-6:15PM: Check-in, food! 
6:20PM-7:45PM: Annoucements, Sponsors, Presentation
7:45PM-8:00PM: Wrap up, prizes, Networking
8:00PM-Whenever: Social time: Dave & Busters or another selected location.

Keiser University 
6430 Southpoint Pkwy #100
Jacksonville, FL 32216

If you have any questions, please feel free to email: Jeff Taylor at jeff@reviewmydb.com. 

Next Meeting

Next Meeting: Wed, Mar 16 2016

JSSUG Monthly Meeting - March 16, 2016

Language: English
Event Type: In-Person
Online Meeting URL: None
RSVP URL: http://www.meetup.com/Jacksonville-SQL-Server-User-Group/events/228897919/

Regular Monthly Meeting

When

iCal
UTC : Wed, Mar 16 2016 22:00 - 00:00
Event Time : Wed, Mar 16 2016 18:00 - 20:00 Eastern Daylight Time
Your Local Time: Wed, Mar 16 2016 22:00 - 00:00

Where

3105 Beach Blvd
Jacksonville, Florida

Direction: None

Featured Presentation

6 Easy Steps to Getting a Predictive Model Up and Running

Speaker: Jason Schuh

Summary: Building predictive models may seem intimidating at first, but the truth is its fairly simple when you break it down into its core components. Modern modeling tools like Azure ML make it even easier with a host of complex functionality built into easy use drag and drop components. Almost anyone with a good sense for data and a fair understanding of how business processes work can easily get started with their first predictive model. In this webinar, we will walk through the following six steps and identify the areas where you likely already have the skills to succeed. • Importing the data • Cleaning the data • Feature Engineering • Modeling the data • Scoring the data • Evaluating the model

About Jason: Data strategist with 18 years of experience in analytics, business intelligence, predictive analytics. Masters Degree in Predictive Analytics from Northwestern University.

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