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

In an ongoing attempt to make the content presented useful to our members we start each meeting with a short Q&A session.  Unless noted in the meeting notes the schedule for each meeting will be:

6:00 - 6:20 - General Q&A session & Announcements 6:20 - 7:30 - Presentation(s) 7:30 - 7:45 - Door prizes and Question & Answer session 7:45-Whenever - Social time

 **NEW Location**Address:

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

Wednesday,

January

20

JSSUG Monthly Meeting - January 20, 2016

Monthly user group meeting

Featured Presentation:

MDX 101

Mitchell Pearson, BI Consultant and Trainer Pragmatic Works

The MDX query language is one of the toughest and most powerful languages in your arsenal as a business intelligence developer. In this session, you’ll start from the ground-up learning how to create a basic MDX statement and then quickly how do you solve complex business problems with this well-structured language.

About Mitchell:
Mitchell is an experienced Business Intelligence Consultant and Trainer at Pragmatic Works and is currently the content training manager leading content development and delivery of training courses. Mitchell is experienced developing BI solutions using the full Microsoft BI Stack (SSRS, SSIS, and SSAS) as well as Microsoft Power BI. He is also very active in the community speaking at SQL Saturday events, local user groups, and online virtual events. Mitchell also blogs at mitchellpearson.com.

6 Easy Steps to Getting a Predictive Model Up and Running

Jason Schuh

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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