The main challenge - and opportunity - facing enterprises today is not the *volume* of data at their disposal, it's the *variety* of data. Important information is kept in silos in many formats and shapes, with little or no semantic context. If only we could integrate this data into a 360 view of the customer/patient/BadGuy/assets/risks we could get more insights and make better decisions.
MarkLogic is an enterprise NoSQL database with several years of success at mixing two important NoSQL data models - documents and triples - to integrate siloed data for search and analytics. In this presentation we'll describe how to model with documents and triples together, and we'll show some real-world successes with the approach. We'll finish with a sneak peek at some work in progress that will add SQL to the mix.
Stephen Buxton is the Product Manager for Search and Semantics at MarkLogic, where he has been a member of the Products team since 2005.
Stephen is the co-author of "Querying XML" and a contributor to "Database Design", a book in Morgan Kaufman's "Know It All" series.
Before joining MarkLogic, Stephen was Director of Product Management for Text and XML at Oracle Corporation.
