SQLSaturday 846

Richmond, 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 Mar 30 2019 at Stratford University, 11104 W. Broad Street, Glen Allen, Virginia, 23060, United States

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Lunch menus:

Saturday (attendees that paid for lunch only)

Mexican Fare consisting of your choice of Seasoned Ground Beef (vegan substitute will be available) or grilled chicken slices, Fiesta Salad, Tortilla Chips, Salsa, Mexican Rice, Taco Fixings and Churros for desert.

Friday (precon attendees)

Italian Fare consisting of your choice of Vegetarian Lasagna (vegan) or Baked Ziti, Italian House Salad, Sliced Italian Bread and Mini Cannolis for desert.

Precons on March 29th:

The Enterprise Maintenance Lifecycle: Problems & Solutions

Speakers: Jen & Sean McCown

Database maintenance isn’t a single event; it’s a lifecycle. Aside from the maintenance event itself, there’s also reporting, error management, specialized configs, HA/DR and more. In this full day session, we’ll explore the many issues surrounding maintenance and how to solve them in a way that is cohesive and comprehensive. If you’re managing more than one server, come to this session.
Learn how to ... (more)


From Zero to Dashboard Hero

Speakers: Angela Henry & Carlos Chacon

Your boss has heard all the buzz about Power BI and wants you to start using it to make the business users happy and reduce the demands on IT staff. In this single day workshop, we review the capabilities of the Power BI suite of tools and help you realize the following objectives using demos and hands-on labs:
Objectives ... (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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