MN PASS Microsoft BI User Group Meeting – Oct 27

The next MN Microsoft BI User Group meeting is coming up on Thursday, October 27. We will have two presentations, the first one is a case study from Red Wing Shoes on Advanced Analytics and the other is on ETL in the Cloud.

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MN Microsoft BI User Group October 2016 Meeting

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Date: Monday, October 27, 2016

Check In: 12:45 PM Event Time: 1:00 PM – 5:00 PM

Location: Microsoft Technology Center – 3601 76th St W, Suite 600 Edina MN 55435 (in LOW 1, 2, and 3)

Please Register Now (Please register so that we can have your name badge pre-printed)

Agenda:

• 12:45-1:00 : Check-In
• 1:00-1:45 : Pizza Lunch
• 1:45-2:00 : Microsoft BI User Group Updates and Announcements
• 2:00-3:00 : Red Wing Shoes – Keeping on the Heels of Advanced Analytics
• 3:00-3:15 : Break
• 3:15-4:15 : ETL in the Cloud
• 4:15-5:00 : Networking

Presentations:

Session 1: Red Wing Shoes – Keeping on the Heels of Advanced Analytics

For over a century Red Wing purpose-built footwear has been at the spearhead of innovation in the standard of excellence for work boots. As a global leader, they are on a journey to transform their business by leveraging data management and advanced analytics. Hear from Red Wing Shoes on how they are driving product transformation with data and analytics. See how SQL Server master data management and analytics is leveraged to implement data governance, gather and share business insights improve product performance.

Speaker: Jay Wardle, Director, Business Intelligence & Analytics

Jay is the Director, Business Intelligence and Analytics for Red Wing Shoe Company. He leads the long-term strategic direction of BI and data architecture as well as the team who performs development on and operations of BI&A platforms. He is currently driving initiatives in Merchandise Analytics and Business Performance Management to get to "One Source of the Truth." Additionally, he is moving RWSC to Self-Service BI both technically and culturally.

Session 2: ETL in the Cloud

In this session we will canvass the many options you have for doing ETL/ELT work on the Azure platform, including IaaS, PaaS and “serverless” options. We will dive deeper into two workloads with demos and some “tips and tricks” for Azure Data Factory and also Azure Functions.

Speaker: Michael Ludwig, Microsoft Data Solutions Architect

Michael is a Data Solutions Architect at Microsoft in Edina, where he works on Machine Learning, Big Data and Blockchain applications on the Azure platform. Prior to joining Microsoft, Michael worked at Silver Bay, designing and optimizing geographical and financial statistical analysis solutions (mostly regression analysis and clustering). Before that, he was a database architect and then the lead systems architect of a multi-tenant cloud-based Internet-of-Things application for LogicPD, in Minneapolis.