SQLSaturday 27

Portland, 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 May 22 2010 at University of Portland, 5000 North Willamette Blvd, Portland, Oregon, 97203, United States

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Welcome to SQL Saturday and Portland Code Camp

On the weekend of May 22, 2010, the Portland Development community is coming together in a way never experienced before.

Using the University of Portland campus, SQLSaturday and Portland Code Camp are combining and coordinating efforts to bring 700-800 software development professionals together for the opportunity to immerse themselves in seminars, presentations, group exploration, and networking. Participants will be able to engage in their preferred technology, as well as to 'sample' other options

Portland SQLSaturday is encouraging presentations related to interoperability of any of the SQL platforms, including T-SQL (SQL Server), PostgreSQL, MySQL, and PL-SQL. Abstracts for Platform specific sessions are also encouraged. The event is scheduled from 8:00 AM until 10:00 PM. A few longer (2.5 hour)  'deep dive' sessions will be scheduled for 7:00 PM (after the snacks and refreshments.)

Click here to register.

Click here for information about the Portland Code Camp portion of the event.

This event will be held May 22, 2010 at University of Portland, Franz Hall, 5000 North Willamette Blvd, Portland, Oregon 97203. Admittance to this event is free, all costs are covered by donations and sponsorships. Seatting is limited, please register soon to reserve your place. Tell your friends and colleagues about the event.


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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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