Apache Spark is a fast and general-purpose cluster computing system, initially developed as AMPLab/UC Berkeley as part of the Berkeley Data Analytics Stack (BDAS) (http://en.wikipedia.org/wiki/UC_Berkeley). It provides high-level APIs for the following programming languages that make large and concurrent parallel jobs easy to write and deploy [12:11]:
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The core element of Spark is a resilient distributed dataset (RDD), which is a collection of elements partitioned across the nodes of a cluster and/or CPU cores of servers. An RDD can be created from a local data structure such as a list, array, or hash table, from the local filesystem or the Hadoop distributed file system (HDFS...