At MarkLogic, we talk a lot about metadata: information about information. It’s what our customers use to make connections and gain new insights about things they care about.

That being said, I’ve been in meetings where someone starts talking about metadata, and others are clearly puzzled. What is this all about?

I think we could do a better job explaining what metadata is, how it works, and why it’s so darn important. Metadata is not a new concept, it’s been around

I’ve recently joined the MarkLogic team, and couldn’t be more thrilled. For those of you who might have followed me from EMC to VMware to Oracle, you might wonder — why?

MarkLogic has solved an incredibly important and inherently difficult problem for its customers — how do you make connections across diverse data to deliver more value from information?

Think paying insurance claims, or making loans. Perhaps designing and testing aircraft. Maybe finding fraudulent

I’ve recently joined the MarkLogic team, and couldn’t be more thrilled. For those of you who might have followed me from EMC to VMware to Oracle, you might wonder — why?

MarkLogic has solved an incredibly important and inherently difficult problem for its customers — how do you make connections across diverse data to deliver more value from information?

Think paying insurance claims, or making loans. Perhaps designing and testing aircraft. Maybe finding fraudulent

A few weeks ago, I listened to the MLW20 manufacturing industry breakout session and was fascinated by the discussion around the optimal data integration processes for developing and industrializing knowledge in an enterprise. In other words, the process for transforming data into knowledge.

Every speaker, from organizations that included DuPont, U.S. AFRL, Eaton, and Chevron, spoke to the common key ingredient for making this systematically possible at an enterprise level: Semantic