Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (Nov. 8 to Nov. 14). Here they are, in order of popularity:
Facebook has announced that Presto, its SQL-on-Hadoop engine claimed to be up to 10 times faster than Hive for large-scale queries, is now open source. What kind of impact might this development have?
Imagine you are in front of three slot machines, each with different likelihoods of paying out. How should you play them in order to maximize your payout? This is the problem the multi-armed bandit algorithm solves.
In 2012, an experiment called Trash Track attached transmitters to over 3,000 pieces of rubbish and tracked where each item went and how far they traveled. It’s this kind of Big Data that can help cities manage resources more effectively, and reduce costs and carbon footprint.
Users of Cassandra and Hadoop may be interested in a new tool called KassandraMRHelper. The purpose of the tool is implied in the name - simplifying the process of extracting data out of Cassandra and into Hadoop, and map-reducing the data - but it takes some different approaches from other techniques.
In this paper, @Tom7 writes about an algorithm he’s developed over several weekends that plays classic NES games. The software consists of two utilities: learnfun and playfun. Learnfun watches you play a game and figures out what it means to win. Playfun uses that knowledge to play the game.