Apache Flink: New Hadoop contender squares off against Spark

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1. The quest to replace Hadoop’s aging MapReduce is a bit like waiting for buses in Britain. You watch a really long time, then a bunch come along at once. We already have Tez and Spark in the mix, but there’s a new contender for the heart of Hadoop, and it comes from Europe: Apache Flink (German for "quick" or "nimble").
   
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3. Flink sprung from Berlin’s Technical University, and it used to be known as Stratosphere before it was added to Apache’s incubator program. It’s a replacement for Hadoop MapReduce that works in both batch and streaming modes, eliminating the mapping and reducing jobs in favor of a directed graph approach that leverages in-memory storage for massive performance gains.

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http://www.infoworld.com/article/2919602/hadoop/flink-hadoops-new-contender-for-mapreduce-spark.html

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