Greater Lansing Area for SQL Server (GLASS)

Greater Lansing Area for SQL Server

We are a group of professionals who like to get together to talk about Microsoft SQL Server and related technologies. Meetings are open and free of cost to the public but will require an RSVP so we can get an accurate count for food. 


1. Facilitate networking and create opportunities for our members
2. Deliver quality content for in-depth learning and professional development
3. Encourage community growth and development

Contact Information

1. Mailing list signup:
2. Twitter:
3. LinkedIn:


Next Meeting




Getting Started with Git/GitHub

  • In-Person @ Lansing, Michigan, United States (map)
  • 17:30 - 19:30 Eastern Daylight Time
  • Language: English

**Note: the presenter will be remote**
***Also, while this is not strictly a SQL Server topic, it should be of interest to anybody that needs to deal with source control, which is everybody!***

Abstract: If you manage code, you understand the struggle of choosing how you source control it. While there are many choices out there, Git has become a popular option for many development teams. While it has many strengths, understanding Git can be a struggle for developers who are not used to distributed source control. In this session, we will go over the basic concepts of Git, from building and cloning a repository to branching, forking, and code merges. We will use real world examples of how Git and GitHub can be used to manage global development teams. Attendees will leave with a solid understanding of how Git works, how to get started with their own GitHub repository, and some tools that can be used to manage their code.

Speaker Bio: Mike Fal is a thought leader in database architecture and data management, leveraging my 15+ years of database administration, technology experience, and community activity to help companies develop first class data solutions.

Specialties: Database architecture, automation, monitoring, performance troubleshooting, SQL Server, Powershell, cloud data technologies, NoSQL/non-relational data systems



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