SQLSaturday 255

Dallas, 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 Nov 02 2013 at 416 Yates St, Arlington, Texas, 76019, United States

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Welcome to SQLSaturday #255

SQLSaturday is a training event for SQL Server professionals and those wanting to learn about SQL Server. This event will be held Nov 2 2013 at The University of Texas at Arlington, Nedderman Hall, 416 Yates St,  Arlington, TX 76019. Admittance to this event is free, but we do charge a lunch fee of $10.00, so that we can provide a lunch. Please register soon as seating is limited, and let friends and colleagues know about the event. Sorry , no refunds if you cannot make it. Extra lunches will be donated to charity.

Announcing SQLSaturday #255 - Dallas 2013 - Preconference  

Please note the pre-conference is paid event and seperate from the main SQLSaturday event.


Preconference Date: Friday, 1st November-2013

Time:  8:30 am to 4:30 pm

Location: Microsoft Building LC-1, 7000 North Highway 161, Irving, TX

Fee: $99 till 20-September-2013. $120 from 21-September-2013

Topics and Registration:

A Day of SSIS 2012 - Andy Leonard: https://adayofssis2012.eventbrite.com/ 

Query Perfomance Tuning - Grant Fritchey: https://queryperformancetuning.eventbrite.com/

Data Science Crash Course- Drew Minkin: https://datasciencecrashcourse.eventbrite.com/

For registrations to SQL Saturday event - click on the Register button below. 

For registrations to the Day long Pre-con events listed above, please register in the link next to them.

Sorry. No refunds.  If you paid for your lunch and you cancel your registration, we will donate those extra lunches to charity. 

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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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