SQLSaturday 523

Iowa City, United States

PASS SQLSaturday is a free training event for professionals who use the Microsoft data platform. These community events offer content across data management, cloud and hybrid architecture, analytics, business intelligence, AI, and more. This event will be held on Jun 11 2016 at University of Iowa - University Capitol Centre, 201 S Clinton St, Iowa City, Iowa, 52240, United States

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Welcome to SQLSaturday

SQLSaturday is a training event for SQL Server professionals and those wanting to learn about SQL Server. Admittance to this event is free - all costs are covered by donations and sponsorships. Lunch is available on-site for $10.

Please register soon as seating is limited, and let friends and colleagues know about the event.

Pre-Conference Sessions

Our pre-conference sessions are now available! Each session is a full-day, in-depth session on that topic, taught by an experienced instructor. This year, we have three sessions available for you to choose from:

Thursday, June 9

Friday, June 10

Reserve your seat today for just $125!

Eventbrite - SQLSaturday Iowa City 2016 Pre-Conference Sessions

Event Location

Event news

Pre-Conference Schedule UpdateUnfortunately, we have had to cancel two of our pre-conference sessions. The Query Tuning Workshop session and Power BI session will no longer be held. We apologize for Read More

More PowerShell!Interested in the PowerShell 60-120 class but need an intro first? By request, Ben Miller has agreed to offer his "PowerShell for the DBA from 0-60 in a Day" class on Thursday, June Read More

Need a hotel room?We've arranged a great rate for a block of rooms at the brand-new Homewood Suites by Hilton in Coralville's Iowa River Landing district. Rooms are $119 for 1 king bed and $129 for 2 Read More


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What is a PASS SQLSaturday?

PASS SQLSaturdays are local events organized by PASS community members around the world. PASS is a not-for-profit association for data professionals who leverage the Microsoft Data Platform, offering interactive learning built by community and guided by trusted data experts.

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