RESEARCH & RESOURCES

Analytic Databases for Big Data

Webinar Abstract

Many user organizations are in the process of ramping up their analytics programs to understand how evolving economies are driving changes in customer bases, competitive landscapes, cost structures, and business processes. As part of the ramp up, users are considering and evaluating new and improved database management systems (DBMSs) and related functionality built specifically for analytics with big data that have come forth in recent years. According to TDWI’s 2011 big data analytics survey, 33 percent of surveyed organizations are contemplating a replacement of their analytic databases, data warehouses, and similar platforms, to keep pace with new and intensifying requirements for advanced analytics in a big data world.

This panel discussion, led by TDWI’s Philip Russom, is based on a TDWI Checklist Report on analytic databases for big data that will publish about the time of this Webinar. The panel will include experts from each of the four sponsoring firms of the Checklist. Russom will begin by defining the many types of analytic DBMSs, a moving target that has changed recently. The panel discussion will present a checklist of requirements for analytic DBMSs in general, with a focus on their use with big data. The list of requirements can assist users who are currently evaluating analytic databases.

Attendees will learn about:

  • Platform types and feature functionality for modern analytic databases
  • Real-world use cases for the types and features
  • An overview of representative vendors that offer analytic databases

Philip Russom, Ph.D.

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