SAN CARLOS, Calif. — February 28, 2012 — MarkLogic Corporation, the company powering mission-critical Big Data Applications around the world, today announced that Gary Lang, senior vice president of products, MarkLogic, will keynote and present at this week’s O’Reilly Strata Conference: Making Data Work, being held February 28 – March 1, 2012 at the Santa Clara Convention Center in Santa Clara, California. Lang will give the keynote “Big Data’s Next Step: Applications” at 9:45 a.m. (PT) and the presentation “Big Data Applications in Action” at 1:30 p.m. (PT) on Thursday, March 1, 2012.
In the keynote “Big Data’s Next Step: Applications” Lang will discuss how applications that leverage all of an organization’s data is the next step in the evolution of Big Data, giving high level examples of Big Data Applications already being implemented today. Following the keynote, Lang will detail three production implementations of Big Data Applications, and the benefits they’ve provided thus far in the session “Big Data Applications in Action.” Among other topics, this session will look at a next-generation Big Data Search application with billions of documents and how a major movie studio implemented an Enterprise Data Layer for access to all of its content across multiple silos.
“Organizations in the private and public sectors are starting to realize that it’s no longer enough to simply store and analyze Big Data – it’s vital that they are able to leverage that data to make better business decisions and take action in real-time,” said Lang. “Forward thinking organizations already have Big Data Applications in production today and are poised to overtake their competition. We’re looking forward to sharing our vision at O’Reilly Strata, and continuing to help organizations take the next step in the evolution of Big Data.”
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.