As Portland Power BI User Group, we’re a community of people excited about Power BI. We think the platform offers rich possibilities, and we keep pace those by sharing our learning and doing deep-dive explorations of topics. We run the gamut from new to experienced users and welcome anyone who shares an interest!
“Portland Power BI User Group is part of the Microsoft Power BI User Group Program. Microsoft is not responsible for content on this website or activities that take place at Group meetings.”
CHRIS WEIS (Columbia Sportswear) - Guided Tour of Exciting New Power BI Features
“Life moves pretty fast. If you don't stop and look around once in a while, you could miss it.” Did you see the new stuff coming to Power BI?! And what recently arrived? This is a high speed flight over the cool new Power BI Desktop, Service and Mobile features, and what they mean for your deployment. Sit back, grab some beer and pizza, and soak it up.
Chris is a member of Columbia Sportswear's Enterprise Information Management (EIM) team, focused on delivering reporting, analytics and data management services. He has two decades of expertise in Business Intelligence (BI) design, architecture and thought leadership from his time working in one of General Electric's first BI teams, and as Director of Business Intelligence at Ubisoft. He has shaped the strategy and implementation of information delivery, data warehouse, and data governance solutions, and has been excited about the business value of data from his first VisiCalc spreadsheets to the latest monthly feature releases of Power BI. He lives in Portland, Oregon, earned a master's degree in Software Engineering in Connecticut, an undergraduate in Operations Management and International Business in Pennsylvania, and has been working lately toward an FAA Instrument pilot certification.
PAUL TURLEY (Pragmatic Works) - Power BI at Enterprise Scale
How much data can Power BI consume and handle in the service? How can you keep dataset small in the desktop and load all your data in the service? Using a recent case study, let’s take a close look at solutions for managing large data volumes. We’ll do a deep dive into techniques for partitioning queries and applying incremental refresh policies to manage historical records and update only new data in high volume data scenarios. We’ll also talk about options for implementing DevOps, version control and application lifecycle management.
Read Paul's bio on his blog (and don't forget to subscribe!): https://sqlserverbi.blog/about/bio/