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Aggregating with Apache Spark

An aggregate in mathematics is defined as a “collective amount, sum, or mass arrived at by adding or putting together all components, elements, or parts of an assemblage or group without implying that the resulting total is whole.”

While there are many uses for aggregation in data science–examples include log aggregation, spatial aggregation, and network aggregation–it always pertains to some form of summation or collection. In this article, we’ll look at the mechanics of aggregation in Apache Spark, a top-level Apache project that is popularly used for lightning-fast cluster computing.

Source: itworld.com
Author: Ravishankar Nair, Ram Pasupula and Sumit Kulkarni
JavaWorld

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