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Ken Bado to Discuss “Big Data, Big Opportunity” at TechTarget Seminar

SAN CARLOS, Calif. — December 1, 2011 — MarkLogic® Corporation, the company empowering organizations to make high stakes decisions on Big Data in real time, today announced that Ken Bado, president and CEO, MarkLogic, will speak on “Big Data, Big Opportunity” at the TechTarget seminar “Delivering Deeper Insights with Big Data and Real-Time Analytics.” Bado’s presentation will look at the challenges posed by Big Data and the significant opportunity for organizations that can build Big Data applications for better decisions. The seminar is scheduled for Tuesday, December 6, and will be held in New York City. For more information or to register for the seminar, please visit the seminar website.

The seminar “Delivering Deeper Insights with Big Data and Real-Time Analytics” will address the challenges and issues with using data for deeper insights. The seminar will discuss how organizations can unlock patterns and trends in large volumes of structured and unstructured data for a better understanding of customers, improved operational efficiencies, and accelerated business performance.

“Big Data is changing the way organizations deal with information,” said Bado. “Managing the volume of Big Data is just the first step – the organizations that can build applications on their Big Data for better decisions will pull away from their competitors. Organizations and government entities like McGraw-Hill, Fairfax County, and the FAA have already deployed cutting edge applications that leverage Big Data, and now they can make more informed decisions and save money.”

For more information or to register for the seminar, please visit the seminar website. For more information on MarkLogic, please visit the MarkLogic website.

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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