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May 24 Webinar: Big Challenges in Data Modeling with Graeme Simsion

By   /  May 13, 2012  /  7 Comments

Date: May 24, 2012 This webinar has passed. The recording of the webinar will be made available On Demand within two business days.

Time: 4 PM Eastern / 1 PM Pacific

  • NOTE! This is a different time than most other DATAVERSITY webinars

Price: Free to all attendees

About the Presentation

We invite you to join us in this monthly DATAVERSITY webinar series, “Big Challenges with Data Modeling” hosted by Graeme Simsion. Join Graeme and two or more expert panelists each month to discuss their experiences in breaking through these specific data modeling challenges. Hear from experts in the field on how and where they came across these challenges and what resolution they found. Join them in the end for the Q&A portion to ask your own questions on the challenge topic of the month.

This month’s guest panelists:

Karen Lopez, Sr. Project Manager, InfoAdvisors

Karen Lopez is Principal Consultant at InfoAdvisors, Inc., a Toronto-based consulting firm, and has spoken at several DAMA conferences and DAMA Chapters. She has 20+ years of experience in project and data management on large, multi-project programs. Karen specializes in the practical application of data management principles. Karen is also moderator of the InfoAdvisors Discussion Groups at www.infoadvisors.com

David Hay, President, Essential Strategies, Inc.

In the Information Industry since it was called “data processing”, Dave Hay has been producing data models to support strategic and requirements planning for more than twenty years. As President of Essential Strategies, Inc. for 18 years, Dave has worked in a variety of industries, including, among others, banking, clinical pharmaceutical research, and all aspects of oil production and processing. Projects entailed various aspects of defining corporate information architecture, identifying requirements, and planning strategies for the implementation of new systems.

Alec Sharp, Senior Consultant, Clariteq Systems Consulting

Alec Sharp has managed his consulting and education business, Clariteq Systems Consulting Ltd., for close to 30 years. Serving clients from Ireland to India, and Washington to Wellington, Alec’s expertise includes facilitation, business analysis, business process improvement, and, of course, data management. In addition to his consulting practice, he conducts top-rated workshops and conference presentations on these topics globally. Alec is the author of “Workflow Modeling, second edition” (Artech House, 2008) which is widely used as a consulting guide and university text, and is a best-seller in the field.

About the Moderator

Graeme Simsion managed a successful business and systems consultancy for twenty years.  During that time, he built a personal reputation as a thought leader in the data strategy field. He now draws on that experience to deliver industry and academic education in consulting skills, and to coach individuals and consulting teams. He has published widely, including two books on data modeling, and is also an award-winning fiction writer.

  • interested in geospatial data modeling

    • Very interested in geospatial data modeling. Thank you.

  • Jachson Ribeiro

    I believe the GMT informed is 1 hour late.
    Acording to time converting web sources the correct GMT time for the presentation is 20:00(8:00PM)GMT as opposed to 9:00PM as published.

    I hope not being tricked with daylight savings in US.

    The accuracy of this information is importante for folks like me leaving in a 10+ GMT zone.

    Cheers
    Jachson

    • Shannon Kempe

      Correct. GMT time would be 8:00 PM for the webinar. When using the converter, the UK however is not on GMT in the summer due to daylight savings. http://www.timeanddate.com/time/united-kingdom-bst.html

      London is currently 8 hours ahead of the US Pacific Time and 5 hours ahead of Eastern Time Zone, so 9PM would be correct for those in the UK.

  • Bobby

    Very interested in how data modeling can be leveraged for a NoSQL Big Data solution.

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