2 month ago
joshua : happy - Happy is a framework for writing map-reduce programs for Hadoop using Jython. It files off the sharp edges on Hadoop and makes writing map-reduce programs a breeze.
Rod Begbie : Hadoop + Python = Happy - Framework that combines Jython and Hadoop to make writing distributed mapreduce in Python easy. This might finally get me to dive into Hadoopyness. [via] #
# copy
8 month ago
joshua : Cascading - a large dataset build tool and a processing API for Hadoop.
# copy
8 month ago
joshua : Jeff on Cloud Computing: The First Hadoop Summit
# copy9 month ago
nelson : Hadoop + EC2 + S3 = NYT PDF - Nice breakdown of how to use cloud computing services to do a large scale rendering job
# copy10 month ago
nelson : Hadoop success - Yahoo talks about how they do web indexing. Google considers their equivalent system highly proprietary; neat that Hadoop is open source.
# copy
15 month ago
Jeremy Zawodny : Yahoo's Doug Cutting on MapReduce and the Future of Hadoop - Yahoo's Doug Cutting on MapReduce and the Future of Hadoop: "In this special InfoQ interview Cutting discusses how Hadoop is used at Yahoo, the challenges of its development, and the future direction of the project."
nelson : Hadoop interview - Doug Cutting is one of the smartest programmers I know
# copy
28 month ago
Simon Willison : Hadoop - Open-source Google File System / map-reduce equivalent. Apparently scales amazingly well.
Rod Begbie : Welcome to Hadoop! - Open-source project to allow the creation of massive massively-parallelized systems. I'm so glad my CompSci course taught me about parallel programming in 1997, because it's only going to become more important. [via] #
# copy