SQLSaturday 61

DC, 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 Dec 04 2010 at Microsoft Technology Center, 12012 Sunset Hills Rd, Reston, Virginia, 20190, United States

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Welcome to SQLSaturday #61

SQLSaturday is a FREE training event for SQL Server professionals and those wanting to learn about SQL Server. This event will be held on December 4,  2010 at  the Microsoft Technology Center, 12012 Sunset Hills Rd. Reston, VA 20190.

This event is being organized by the Northern Virginia SQL Server Users Group  (www.novasql.com) and the Capital PC User Group (www.cpcug.org) along with other local MVPs and volunteers from the Washington DC Metro area.

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


Reg & Breakfast                 8:00 – 8:30

Session I                              8:30 – 9:30

Session II                             9:45 - 10:45

Session II                             11:00 - 12:00


  PASSWIT Discussion      12:00 – 1:00

Session IV                           1:00 – 2:00

Session V                             2:15 – 3:15

Session VI                           3:30 – 4:30

Raffle                                    4:45 - 5:30




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Event news

Announcement: the Women in Technology virtual chapter (http://wit.sqlpass.org) will be holding a discussion regarding the importance of diversity issues in IT and all are invited to attend! Read More

For those attending SQL Saturday #61, check out Matt Velic's blog post; http://mattvelic.com/sql-saturday-61-dc/ 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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