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.
Successfully responding to changes in the business landscape requires data agility. Learn what visionary organizations have done, and how you can start your journey.
Our next event series covers key aspects of MDM including data integration, third-party data, data governance, and data security -- and how MarkLogic brings all of these elements together in one future-facing, agile MDM data hub.
A knowledge graph – a metadata structure sitting on a machine somewhere – has very interesting potential, but can’t do very much by itself. How do we put it to work?
In the digital era, data is cheap, interpretations are expensive. An agile semantic data platform combines facts and what they mean to create reusable organizational knowledge.
Managing a portfolio of investments for your client has never been simple - and doing so through an ESG lens raises the complexity to an almost mind-boggling level. Learn the signs your team has hit the wall with current tools - and how a semantic knowledge graph can help.
Many firms manage transaction reconciliation using smart people armed with spreadsheets - but that doesn't scale well. Learn what to look for, to know if you're creating new forms of risk for your firm.
A semantic knowledge graph is great for enabling shared - and scalable - organizational knowledge. But, this approach can only succeed when it's grounded in data reality. Learn more in this post.
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