SQLSaturday 516


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 18 2016 at Hilton Reykjavik Nordica, Suourlandsbraut 2, Reykjavík, Gullbringusysla, 108, Iceland

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Welcome to SQLSaturday Iceland 2016

We are going to have a great time learning about Microsofts Data Platform with some fantastic speakers. There are three great tracks with 18 sessions. Please check out the schedule in the menu above for more information. Remember that SQL Saturday is a free event. Please register using the Register now button in the menu above.


There are two fantastic pre-cons on the 16. June. Whole day learning on a specific subject with world class trainers for the low low price of 110 euros (approx. 15.000 ISK). 

Gail Shaw is presenting All about Execution Plans

Rasmus Reinholdt is presenting Building tomorrows ETL architecture with BIML and MDS today

For more information about the pre-cons and to register please follow this link

Event Location

Event news

Due to unavoidable situation we have had to change the venue for the SQLSatIceland.Luckily we have gotten in at Hilton Hotel Reykjavík.This page will be updated with the new address very soon Read More

We have decided on two pre-conferences on the 16. June. Anders Reinholdt will present Building tomorrows ETL architecture with BIML and MDS todayGail Shaw will present All about Execution PlansWe Read More

We are planning on having pre-conference on Thursday the 16th of June and half of Friday the 17th June. If you would like to present a pre-conference please contact the organizers using the Contact 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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