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June 4, 2008

International Data Warehousing and Business Intelligence Summit 2008

Filed under: Data Warehousing — Alena Semeshko @ 1:01 am

Making plans to visit the upcoming International Data Warehousing and Business Intelligence Summit 2008? I’m sure it’s worth attending.

The event will be held in Residenza di Ripetta, Via di Ripetta 231, 00193 Roma (RM)

The main topics this summit will focus on include:

  • Beyond the Data Warehouse: New Approaches to Business Intelligence
  • Data Streams, Complex Events, and BI
  • BI at Your Service: A Look at the Role of SaaS
  • The Data Appliance Explosion: Using Appliances for Data Warehousing and Analytical Processing
  • Are Low-Cost and Open Source BI Solutions Right for You?
  • Voice of the Customer: Better CRM Through Text and BI Integration
  • Extending the Reach of Data Mining
  • Where are the BI and Data Warehousing Industries Heading?
  • An Evolutionary Approach to Master Data Management
  • Achieving RFID Information Excellence
  • Mining and Delivering Web Content for Business Benefit
  • Exploiting the Power of Search in BI

2 Comments »

  1. Hi Alena,
    I’m a student at the University of Texas doing some research into various avenues of multi-core processing and parallel computing in the control process world, more specifically in software vendors using predictive analytics to design better maintenance tools and procedures. In researching these tools I come across many sites that discuss data mining and BI analytic tools. I don’t know very much about these tools but was wondering if they use parallel algorithms or frameworks to take advantage of the multi-core hardware available today? Or is it more common to use cluster or cloud computing?

    Thanks for the info!

    Comment by hunter — June 9, 2008 @ 8:26 am

  2. Hunter,
    All of the technologies you listed are currently used on the market, and which one’s in use really depends on the application. To find out which one is used by a particular vendor, I’d suggest asking the vendor directly. Apatar, for instance, doesn’t use parallel processing at all as of now, though it is on the team’s future to-do list.

    Actually, cluster computing is more often used for paralel information storage, while parallel processing is usually employed in virtualization. Try looking into Amazon S3 web service that provides the necessary scalability.

    Comment by Alena Semeshko — June 11, 2008 @ 3:58 am

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