What we’re about
PLEASE READ our Code of Conduct - We support and enforce Azure Tech Groups - Code of Conduct
Welcome! We are an active SQL Server Local Group supporting the Des Moines, IA, and surrounding areas, since September 2009. Likewise, we are part of the Azure Data Tech Groups Community with Microsoft paying our Meetup.com subscription fees. Thank you Microsoft Technical Community!
Iowa Data Professionals - Des Moines is one of three Iowa SQL Server Local groups. Please visit the Meetups for our sister groups: I-380 PASS Data Professionals and Quad Cities Data Professionals.
Please visit our sqlugs.com website (work in-progress) at IDPA-DesMoines. Thank you Denny Cherry & Associates Consulting for your support.
Our Local Group Leader is a Board Member of the Iowa Data Professionals Association which is an IRS 501c3 registered not for profit organization.
Sponsors
See allUpcoming events (1)
See all- IDPA-Des Moines December Virtual Meeting featuring Torsten StraußLink visible for attendees
**This meeting will be 100% online -- there will be no in person meetings at this time **
PLEASE READ Azure Tech Groups - Code of Conduct
Connection Software: Microsoft Teams
The Des Moines chapter of the Iowa Data Professionals (IDPA) will meet the Monday before the 2nd Wednesday of the new month. The 2nd Wednesday of the new month is reserved by Quad City PASS.
Meetup Organizers will start the Microsoft Teams meeting at 5:30 PM, Central Time (22:30 UTC), and will then admit attendees into the remote meeting.
Please connect, eat your dinner and network with other data professionals until the meeting is called to order.
At 5:50 PM Central Time (23:00 UTC) our Local Group Leader will call the meeting to order with brief announcements.
At 6:00 PM Central Time (23:00 UTC) we will introduce the featured speaker, Torsten Strauß.Session Information:
"Examples of query performance improvement in SQL database"
In this session, we will look at some examples of slow queries in SQL Server, analyze the root cause, and implement several ways to dramatically increase query speed or workload. We will also encounter bugs in the SQL Server query engine and possible counterproductive effects of intelligent query processing features.
