Читать книгу Data Science For Dummies - Lillian Pierson - Страница 47

Massively parallel processing (MPP) platforms can be used instead of MapReduce as an alternative approach for distributed data processing. If your goal is to deploy parallel processing on a traditional on-premise data warehouse, an MPP may be the perfect solution.

To understand how MPP compares to a standard MapReduce parallel-processing framework, consider that MPP runs parallel computing tasks on costly custom hardware, whereas MapReduce runs them on inexpensive commodity servers. Consequently, MPP processing capabilities are cost restrictive. MPP is quicker and easier to use than standard MapReduce jobs. That’s because MPP can be queried using Structured Query Language (SQL), but native MapReduce jobs are controlled by the more complicated Java programming language.