We hope you have enjoyed your summer and are ready to get back to learning all things SQL Server related! We are starting out our fall in Omaha with a great session.

Our October meeting takes us back to Farm Credit Services of America, where we will have Alex Yates of Red-Gate Software joining us talking about building an automated database deployment pipeline.  This is a subject that I know is an oft-discussed topic in the industry currently, so this will surely be a night you don’t want to miss.
We will be meeting next Wednesday, October 8th, at 6PM.  Food will be served approximately 15-20 minutes prior to the start of the meeting.  Our sponsor is Farm Credit Services of America. Please RSVP so we have an accurate head count for food, and it makes you eligible for the swag giveaways!
We can’t wait to see you there!
Alex Yates (@_AlexYates_) has worked with database change management tools for four years, collaborating closely with users and dev teams along the way. As a pre-sales engineer, he gets to see a huge variety of server and dev environments, and helps folks solve their database development and delivery problems in whatever way works well for them. Ever the sharer, he also blogs about the lessons he learns: http://www.workingwithdevs.com.
The pace of business accelerates fairly continuously and application development moves right with it. But we’re still trying to deploy databases the same way we did 10 years ago. This session addresses the need for changes in organizational structure, process and technology necessary to arrive at a nimble, fast, automatable and continuous database deployment process. We’ll use actual customer case studies to illustrate both the common methods and the unique context that led to a continuous delivery process that is best described as a pipeline. You will learn how to customize common practices and tool sets to build a database deployment pipeline unique to your environment in order to speed your own database delivery while still protecting your organization’s most valuable asset, its data.