Data Buzz: The Most Caffeinated Cities in the US

According to a survey by Zagat, 87% of Americans consume at least one cup of coffee each day; 68% purchase their coffee from a store (as opposed to making their own at home or work)1. So it’s no surprise that there are around 100,000 coffee establishments in the country today. Using Factual’s Global Places, we [...]

Docker, Mesos, Marathon, and the End of Pets

A Few Words on Pets and Cattle The pets vs cattle metaphor is not a new one, and with apologies to my vegan friends, not mine, but bears briefly repeating. Essentially, ssh-ing into a machine, configuring it just so, and naming it after something cute or an erudite allusion — that’s a pet. You’re sad [...]

Validating Mobile Ad Location Data at Factual

Location Data appears straightforward on first blush: two numbers — longitude and latitude — combine as a coordinate to identify an unambiguous point on the earth’s surface: X marks the spot, unequivocally. Location data in the Mobile Ad-tech Ecosystem, however — especially that used by marketers and advertisers — has a number of distinguishing characteristics [...]

Changes in our Global Places Data – Q1 2015

The global business landscape is not static. Places open, close, move, shift ownership, update their names, and change in all other manner of ways every day. So, we put in a great deal of effort to continually ensure that the Global Places data we provide is the most accurate snapshot of the real world. Below [...]

A Day in the Life of a Factual Engineer: Polygon Compression

In this series of blog posts, Factual’s blog team asked engineers to describe what a typical day looks like. Background Chris Bleakley, our resident polygon and Lucene expert, had written meticulous documentation about the problem he was solving. The first paragraph read: “Because search times are dominated by the cost of deserializing JTS objects from [...]