Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications Hadoop has always been a catch-all for disparate open source initiatives that ...
Storing data in Hadoop generally means a choice between HDFS and Apache HBase. The former is great for high-speed writes and scans; the latter is ideal for random-access queries — but you can’t get ...
As the undisputed pioneer of big data, Google established most of the key technologies underlying Hadoop and many of the NoSQL databases. The Google File System (GFS) allowed clusters of commodity ...
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