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 ...
Apache Spark, the in-memory and real-time data processing framework for Hadoop, turned heads and opened eyes after version 1.0 debuted. The feature changes in 1.2 show Spark working not only to ...
There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...
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