Post-Sandy Street Views

One thing about big data: it is not static. As there is always changes in a situation, what reflected reality one day can be out of date the next. That is especially true when a hurricane of the likes of Sandy sweeps through and alters the landscape and the structures built on it. 

But not everyone is pleased about updates that include images of their hurricane-ravaged homes. Read more at New Maps After Sandy

Seeing stones for military, rescue, and security operations

What do JRR Tolkien, JP Morgan Chase, the military, and rescue workers have in common? Palantir.

"The Palantír" is the title of the 11th chapter of Tolkien’s The Two Towers. The name refers to the "seeing stones" that allow one to view what is happening elsewhere. In 2004, the name was also taken on by a company that develops software organization to extract meaning from various streams of data to combat terrorism, fraud, and disaster damage.

Palantir distinguishes its approach from data mining by calling it "data surfacing." Read more at 

From Sorcery to Surfacing Data

For more on big data used by the army, see  

National Safety in Big Numbers

 "You can't have a data Tower of Babel" in which each system keeps its data isolated from other systems, Patrick Dreher, a senior technical director at DRC, told Military Information Technology.His company worked with the US Army on the Rainmaker cloud-based intelligence system, which integrates different data models used by the intelligence community. "For example, when Afghan drug lords finance Taliban insurgents, data from one database can be combined with Taliban financing data from an Army database inside the cloud, allowing analysts to make timely, critical connections and stay one step ahead of insurgents."

Big data for voters

 Hurricane Sandy cut a devastating path through the Northeast, and many people are still without electricity, fuel, or shelter. They still had the right to vote, but what were they to do if their usual polling place was knocked out of commission? To find out where they should go, they were able to find answers in big data. Read more in Big-Data to Get Out the Vote