Data science is a broad field that refers to the collective processes, theories, concepts, tools and technologies that enable the review, analysis and extraction of valuable knowledge and information from raw data. It is geared toward helping individuals and organizations make better decisions from stored, consumed and managed data. Data science... Read more
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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