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Intelligence, Defense, and Civilian Leaders to Discuss Innovative Ways to Leverage Information to Improve Transparency, Information Sharing, and Collaboration

SAN CARLOS, CA — August 5, 2010 — MarkLogic Corporation, a leading provider of information infrastructure software, today announced that it will host the MarkLogic Government Summit on November 17, 2010 at The Ritz-Carlton in Tysons Corner, VA. This complimentary one-day seminar showcases a diverse line-up from across the government technology ecosystem, including leading integrators, government leaders, customers, and MarkLogic senior technical staff. For those planning to follow the event on Twitter, the official hashtag is #MLGS10. For more information, please go to marklogic.orbit-websites.com/gs10.

The explosive growth of unstructured information across the government has created challenges that cannot be easily solved using traditional relational databases. At this year’s MarkLogic Government Summit, industry experts, technologists, and MarkLogic customers will share their insights on how alternative solutions are working to address these concerns. Attendees will learn the approaches that have been adopted to meet government requirements and which ones are shaping information management strategies today. In addition, attendees will have the opportunity to explore new technologies that are improving transparency to the public and information sharing among government enterprises. The summit will also highlight how MarkLogic is being used to solve some of the most complex information problems.

Participants will include government officials, industry analysts, systems integrators, MarkLogic federal customers, and MarkLogic technology experts.

About MarkLogic

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.

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