GeoSpatial BigData Analytics (ok - "Buzzword Bingo")

SpaceCurve just scored $2.7M in new funding.

And, why do you care?

Well, you may not, but they are doing something interesting vis-a-vis the merging of BigData and Spatial Data.  And yes, that is a deliberately vague description, but thats pretty much how things work in the BigData world nowadays, don't you think?

Seriously though, think of it this way -  

• Spatial data is not inherently easy to deal with in traditional terms (think How do I get the distance between two points?  How do I find all the data-elements in this cube? etc.).  The big SQL players all have Spatial extensions to their DBs, as well as some of the NoSQL players (CouchDB, MongoDB, and Cassandra). 
• Now, add in "Location Services" - where you need to keep track of not just data scattered in space, but time too.  e.g., Your Foursquare check-ins last week, your GPS readings last week, etc.
• And *then*, add in connections between the entities generating this data.  e.g., Your Foursquare social graph, the FBI agents who are monitoring your GPS readings, etc.

Its suddenly gotten awfully complicated, hasn't it?  And what this means is that the ability to comprehend, analyze, and make sense of this Even Larger Fire-Hose is going to make someone a ton of money.
Quite possibly SpaceCurve.

And *now* you know why you should care...