ENTRIES TAGGED "data in politics"
Big data's broad effect on our world, myriad uses for traffic data, and Obama's big data practice vs. policy.
Here are a few stories from the data space that caught my attention this week.
How big data is transforming just about everything
Professor John Naughton took a look this week at how big data is transforming various industries that affect our daily lives.
He highlights finance, of course, which he says has been “pathologically mathematised;” marketing, for which there is more data about human behavior than we’ve ever had; and the very broad category of science. Naughton notes that researchers used to conjure up theories and look to data to support or refute; now, researchers turn to data to find patterns and connections that might inspire new theories. Naughton also looks at medicine, which is just on the brink of delving into the big data realm. He writes:
“Last week’s news about how Cambridge researchers stopped an MRSA outbreak affecting 12 babies in the Rosie Hospital by rapidly sequencing the genome of the bacteria illustrates how medicine has become a data-intensive field. Even a few years ago, the resources required to achieve this would have involved a roomful of computers and upwards of a week.”
Naughton addresses the use of big data in sports as well, speculating that baseball has been the sport most transformed by data. He’ll likely find agreement there. Barry Eggers goes into depth on the dramatic effect big data is having on baseball over at TechCrunch. He notes that simple data analysis of statistics, which baseball has embraced since its beginnings, has evolved into gathering mountains of unstructured data and employing Hadoop to gain new and better insights from data that isn’t part of the structured game information. Eggers writes:
“By having his data scientist run a Hadoop job before every game, [San Francisco Giants manager] Bruce Bochy can not only make an informed decision about where to locate a 3-1 Matt Cain pitch to Prince Fielder, but he can also predict how and where the ball might be hit, how much ground his infielders and outfielders can cover on such a hit, and thus determine where to shift his defense. Taken one step further, it’s not hard to imagine a day where managers like Bochy have their locker room data scientist run real-time, in-game analytics using technologies like Cassandra, Hbase, Drill, and Impala.”