SQLSaturday 647

Boston - BI Edition, 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 Sep 23 2017 at Microsoft (Burlington, MA), 5 Wayside Road, Burlington, Massachusetts, 01803, 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. Please register soon as seating is limited, and let friends and colleagues know about the event.

Join us on Friday, September 22 for an additional day of low-cost training. 

Precon: Show it Right! An In-Depth Guide to Visualization with Jonathan Stewart

In this full-day session, you will learn the ins and outs of data visualization. The focus of this course is to help beginners and experts alike refine their visualization process. Participants will not just learn the theories and concepts of visualization, but the actual process to successfully implement them including the why's and not just the how-tos. Get hands on experience as we work through a complete cycle from the initial request to the successful delivery of the visualization. (Read more details...)

Precon: Deep Dive of Power BI with Adam Saxton

If you have wanted your head to hurt with Power BI, this session is for you! You will learn parts of Power BI to help you take full advantage of the reports and usage in the service. From creating reports to deployment and maintaining fresh data. The debugger will also make an appearance! (Read more details...)

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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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