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Welcome to my random thoughts in regards to Business Intelligence, databases, and other technologies

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MN PASS Microsoft BI User Group Q4 2015 Meeting – Dec 16

Posted by denglishbi on November 25, 2015

We are pleased to announced the next MN Microsoft BI User Group on Wednesday, December 16.  We have two presentations this quarter, one on HDInsight and Power BI and the other on Azure Machine Learning. Please register ahead of time and make sure to bring a photo id to get into the meeting. We are also pleased to announce that we are one of the initial user groups to also be recognized as an official Microsoft Power BI user group!

Please Register Now (Please register so that we can have your name badge pre-printed)
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MN Microsoft BI User Group 2015 Q4 Meeting

Sponsored by:

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Date: Wednesday, December 16, 2015

Check In: 2:45 PM Event Time: 3:00 PM – 6:00 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:
  • 2:45-3:00 : Check-In
  • 3:00-3:15 : Microsoft BI User Group Updates and Announcements
  • 3:15-4:15 : Powering Up HDInsight with Power BI
  • 4:15-4:30 : Break
  • 4:30-5:30 : Rise of the Machine (Learning)
  • 5:30-6:00 : Networking and Pizza
Presentations:
Session 1: Powering Up HDInsight with Power BI

Join Steve Hughes as he walks through two techniques for working with data in HDInsight. In the first example, he will use Power Query to interact with the files in HDInsight. In the second example, he will use Power BI Desktop and Hive to work with the same data. Throughout the session, he will highlight some of the features within Power BI that can be used to explore data stored using Hadoop on HDInsight.

Speaker: Steve Hughes

Steve is a Principal Consultant at Pragmatic Works. He is currently responsible for guiding the Principal Consultant team and working with other areas in the organization to build out their data and analytics offerings. His area of expertise is in data and business intelligence architecture on the Microsoft SQL Server platform. He was also the data architect for a SaaS company which delivered a transportation management solution for fleets across the United States. Steve has co-authored three books and delivered many presentations on SQL Server and data architecture over the past six years. He also provides insights from the field on his blog at http://www.dataonwheels.com.

Session 2: Rise of the Machine (Learning) – Azure ML in BI, in Apps, and as a product in Azure Marketplace

Machine Learning no longer requires expensive infrastructures and knowledge of specialized statistical coding languages. Azure ML lowers the barriers of entry for predictive analytics using Machine Learning.

In this session, review the similarities and differences of Machine Learning compared to traditional Predictive Analytics, Data Mining, Data Science, and Artificial Intelligence. Learn how to integrate predictive analytics into your existing analytics and reporting strategy and infrastructure. Greg will demonstrate how a BI solution using only Excel with Power Pivot can connect to an Azure ML Model in the cloud for predictions and perform analysis with Power BI.

Learn how Azure ML can be used to add value to Apps. Also, review ways to turn your Azure ML Model into a source of revenue using Azure Marketplace. Machine Learning is now quietly rising all around us as it integrates with technology, improves processes and workflows, and transforms how data drives business. Empower your organization with new competitive advantages using Azure ML.

Speaker: Greg Beaumont

Greg is currently the Data Science Practice Lead at GNet Group, where he provides consulting services using Microsoft technologies. His industry vertical experience includes healthcare, manufacturing, logistics, retail and public/government data. Greg has been working in Analytics since 2007, and enjoys designing and building specialized solutions using tools and methodologies such as Six Sigma, Healthcare Performance Measures, Price Analytics and Predictive Analytics. He frequently writes blogs on use of analytics and visualizations http://blog.gnetgroup.com

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