MapR M5 is a distribution and variant of Apache Hadoop that facilitates the deployment and execution of applications over a distributed computing architecture. It is used to integrate the complete functionality of Apache Hadoop and supports most of its components, including HBase, Pig, Mahout, Sqoop and Flume. MapR M5 is available for license by...
Massively parallel processing (MPP) is a form of collaborative processing of the same program by two or more processors. Each processor handles different threads of the program, and each processor itself has its own operating system and dedicated memory. A messaging interface is required to allow the different processors involved in the MPP to arrange thread handling. Sometimes, an application may be handled by thousands of processors working collaboratively on the application.
MPP is a complicated process requiring a certain database functions to be shared between all involved processors. Messages are exchanged between processors via an interconnection of data paths during MPP. MPP is typically found in applications like decision support systems and data warehouses. Supercomputers are also examples of MPP architecture.
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