SAN CARLOS, Calif. — March 5, 2012 — MarkLogic Corporation, the company powering mission-critical Big Data Applications around the world, today announced that its Public Sector Chief Technology Officer, Chris Biow, will be a panelist at the 2nd annual Carahsoft Government Big Data Forum on Tuesday, March 6 in Washington D.C. Biow will describe MarkLogic capabilities to leverage the value of Big Data in government agencies, including lessons learned from MarkLogic clients, and he will discuss near and long-term Big Data trends in the public sector.
The “Big Data Solutions Showcase: Establishing the Infrastructure” panel is scheduled 12:45 p.m. to 1:45 p.m. (ET) at the Renaissance Hotel, 999 9th Street N.W., Washington, D.C. Other speakers at this one-day conference will include Gus Hunt, Chief Technology Officer of the Central Intelligence Agency; John Marshall, Chief Technology Officer of the Intelligence Directorate, Joint Staff/J2; and Bob Gourley, founder of CTOLabs.com and former Chief Information Officer of the Defense Intelligence Agency, who will moderate the event.
“We are delighted to participate in this year’s Big Data Solutions Showcase panel,” Biow said. “We’ve learned a great deal in helping numerous government customers move beyond outdated relational approaches. We have been able to assist them to leverage the strategic value of Big Data, including some of the most mission-critical systems in government. I believe this experience will be of benefit to conference attendees. We also look forward to learning more about the government’s needs in putting Big Data to work.”
The Carahsoft Government Big Data Forum is open to government and industry representatives and the media. For more information, see http://www.governmentbigdataforum.com.
The MarkLogic semantic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified platform lets organizations securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise.