A 1010data Customer, The New York Stock Exchange, to Speak at Gartner Business Intelligence Summit

Business Wire, April 2, 2008

1010data

WHAT:     1010data, a provider of high-performance database software
          for analyzing and managing large volumes of data, today
          announced that its customer, the New York Stock Exchange
          (NYSE), will discuss best practices for business
          intelligence (BI) and performance management systems at
          today's Gartner Business Intelligence Summit in Chicago.
          The Summit brings together industry analysts, vendors and
          end users to discuss BI in the real world.

          Mark Schaedel, vice president of data products at NYSE
          Euronext, will be speaking on a panel entitled, "Best
          Practices - Leadership/BICC Case Study."  Schaedel will
          explore the challenges and benefits of implementing BI and
          performance management systems to save organizations time
          and money.  He will also discuss how the NYSE uses 1010data
          solutions to analyze, manage and distribute unlimited
          quantities of data.

          Architected to handle multi-terabyte databases at a fraction
          of the cost, 1010data's high-performance data management
          architecture is almost infinitely scalable.  With its
          on-demand BI services offerings, 1010data gives businesses
          the tools to lower costs and increase productivity.

WHEN:     Best Practices - Leadership/BICC Case Study
          Wednesday, April 2, 2008
          Grand Ballroom E
          4:30 p.m.-5:30 p.m. CST

WHERE:    Gartner Business Intelligence Summit
          Hyatt Regency Hotel - Chicago
          April 1-3, 2008
          http://www.gartner.com/it/summits/bi6/index.jsp

About 1010data

1010data was founded in 2000 by pioneers of large-scale data systems on Wall Street. Drawing on that experience, 1010data has developed a data management platform that makes it easy to acquire, organize, manage and analyze large volumes of complex, interrelated data. More information is available at http://www.1010data.com.