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Paul Turley Part 2 – A Best Practice Guide and Checklist for Power BI Projects

OHSU IT Group, 1515 SW 5th Ave, Suite 900, Portland OR 97201
1515 SW 5th Ave, Suite 900
Portland, OR 97201, USA (map)

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Data professionals, we love being able to offer you amazing tech presentations every month, networking opportunities, and most importantly snacks so you can focus on the presentation! While not everyone may want food, we rely heavily on the registration count in Eventbrite (NOT Meetup) to ensure we have enough food for everyone. If you can please help us and register through Eventbrite, even if you RSVP in Meetup, then we can aim to feed you all. Thanks for your help!!

https://www.eventbrite.com/e/2020-oregon-data-community-meetings-tickets-86227949117

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Schedule: 6:00 - 6:30 PM - Hearty Snack and Networking 6:30 - 6:45 PM - Announcements 6:45 - 7:15 PM - 1st Presentation 7:30 - 8:45 PM - 2nd Presentation

We have a raffle each meeting!

In December’s short session, Paul introduced a set of guidelines for Power BI projects. This deep-dive session will explore those best practices with several examples and hands-on demonstrations.

Whether designing moderate-scale reports for a few business users or large-scale solutions with loads of data for an entire corporation, this session provides best practice guidance for the essential components of Power BI projects. Power BI is a very flexible platform with an vast range of options and often overwhelming design choices. We will discuss recommended practices to manage datasets and reports for team collaboration, version control, query optimization for scale, data modeling design patterns, measure design, dataset certification and governance. We will conclude with a complete checklist of important items to ensure project success.

William Aguilar Glad I Pushed Back

An anecdotal presentation about Q & A including a use-case for the RAND operator in T-SQL. I am an intermediate Data Analyst with not quite a full year of professional experience. After being tasked with a project to compare tables between two servers to check for inconsistencies, I developed a method for screening large random samples. My suggestion was turned down for a method developed by someone with over 20 years of BI experience. I obviously went with the advice of my co-worker and followed his format… once or twice. I later compared the results of his method to that of my Q&A which had a much more profound impact than my previous explanation.

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