Webinar: How Semantics Solves Big Data Challenges

By on

To view just the slides from this presentation, click HERE>>

This Webinar was Sponsored by:

MarkLogic

 

About the Webinar

Today, organizations want both IT simplicity and innovation, but reliance on traditional databases only leads to more complexity, longer development cycles, and more silos. In fact, organizations report that the #1 impediment to big data success is having too many silos. In this webinar, we will discuss how a new database technology, semantics, solves this problem by providing a new approach to modeling data that focuses on relationships and context, making it easier for data to be understood, searched, and shared. With semantics, world-leading organizations  are integrating disparate data faster and easier and building smarter applications with richer analytic capabilities—benefits that we look forward to diving into during the webinar.

About the Speaker

Matt Allen

Product Marketing Manager, MarkLogic Corporation

Matt AllenAs a product marketing manager, Matt is responsible for articulating the value of MarkLogic in order to drive awareness and adoption worldwide. Matt interfaces with sales, product management, and marketing, bringing creativity and vision to product messaging, analyst relations, campaign development, press activities, sales and partner enablement, field training, demos, webinars, and new product releases. Prior to MarkLogic, Matt worked as a strategy and technology consultant with Booz Allen Hamilton and Ernst & Young, and graduated from the University of Virginia.

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept