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The term MPP in database technologies stands for Massively Parallel Processing. This architecture is designed to handle large volumes of data by dividing tasks among multiple processors that can run simultaneously. In an MPP system, data is distributed across many nodes, each of which processes its segment of the data independently. This approach allows for significant performance improvements when running complex queries or performing large-scale data analysis, as it can take advantage of parallel processing to speed up computations.

The efficiency of MPP systems makes them suitable for big data applications where large datasets and intricate queries are common, allowing for quicker response times and better resource utilization. This concept is particularly relevant in data warehousing and analytics applications where the ability to process data rapidly is crucial for insights and business intelligence.