Gartner has recognized MarkLogic as a Visionary in the Magic Quadrant for Cloud Database Management Systems. Our VP of Strategy Chuck Hollis explains what being a “visionary” means – to us and our customers.
In this third post of the series, we examine modeling for a mixed document/semantic database and demonstrate how to use UML modeling with MarkLogic's Data Hub Framework.
Unified customer search is a particularly challenging data architecture problem. Learn how visionaries have achieved it, by working with information differently.
A guide to challenges, opportunities, and technology options for deploying an enterprise search and discovery solution at your organization. Learn how you can get more value from your complex data, faster.
Get a deeper dive into MarkLogic Semantics to understand the core architecture and query engine inside MarkLogic. We will provide tips and techniques for optimizing Semantics in your applications, including how the unique combination of documents and triples improves data integration, curation, and access.
Recording of a group discussion of how to provide users with self-service access to a MarkLogic Data Hub with techniques to enhance search: Semantic Ontologies, Personalization, Facets, Data Enrichment.
Employees are your most important asset. They are one of the pillars that help your business innovate and grow. So why are you neglecting your HR data?
Discover how evolving market conditions are forcing need for greater underwriting speed and precision, leading to expanding requirements for data integration and governance.