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Sept. 15th: Big Data: Advanced structures and technologies

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Dear Minneapolis BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Minneapolis Chapter meeting on September 15th, 2015. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.

Download presentation slides:
BigDataStructuresForAnalytics 2015_0915 TDWI DavidHaertzen.pdf
Jay Myers presentation.pptx


September 15th, 2015, 8:00 am – 12:00 noon



Microsoft - Technology Center
3601 West 76th Street, Suite 600
Edina, MN 55435


“Big Data: Advanced structures and technologies”

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8:00 – 8:30 am

Networking and Registration

8:30 – 8:45 am

Introductions and Chapter Business

 8:45 – 10:00 am

Presentation: "Semantic and Linked Data” by Jay Myers of Best Buy


Retail and commerce are prime targets for benefitting from Semantic Web and Linked Data technologies. From content to customers, there are countless benefits to utilizing these technologies to drive insight, product relationships, and personalization.
In this talk, we take an introductory look at Semantic and Linked Data. We examine scenarios in retail where technologies and standards like, SPARQL, and Linked Data can be leveraged to produce superior semantic data-driven experiences that delight customers and impact the bottom line. We'll explore how Semantic and Linked Data technologies can be used in a variety of different ways.

10:00 – 10:15 am

Break and Networking

10:15 – 11:30 am

Presentation: "Big Data Structures for Analytics” by David Haertzen of Allianz


This session will cover data organizations and data preparation methods that support analytics.  Source data organizations presented include:  normalized, structured, semi-structured and unstructured. Analytical data organizations presented include: network / graph, tree, dimensional, normalized and flattened.  Each of these data organizations is suited to particular types of analysis:  text mining, visual analytics, regression analysis and market basket analysis.  

11:30 – 11:45 am

Q&A and Wrap-up

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Space is limited so sign up early!

To become a member at a 10% discount, please click here and use priority code MINCPT1. For more information about TDWI Membership, contact [email protected].
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

Bios of Presenters

Jay Myers
As a Technologist at Best Buy, Jay has been active in promoting and speaking about Semantic Web, Linked & Structured Data for use in business to produce results that benefit both consumers and the enterprise. He has spoken at industry conferences, universities, and professional panels. He has been an active supporter of the GoodRelations vocabulary for ecommerce, structured data technologies, and was the co-author of the hProduct Microformat.
David Haertzen
David Haertzen is the author of The Analytical Puzzle: Profitable Data Warehousing, Business Intelligence and Analytics.  He is an acknowledged trail blazer and thinker in the fields of data warehousing, business intelligence and analytics. In addition, he contributes to industry publications and blogs. He has aided a diverse set of organizations from start-ups to multinationals to utilize data for their advantage.
David is known for his engaging teaching and speaking style (look out for challenging ideas!) and is a sought after presenter at industry conferences and events. He is a graduate of the University of Minnesota and holds an MBA from the University of St. Thomas

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