Spark’s parallelism is primarily connected to partitions, which represent logical chunks of a large, distributed dataset. Spark splits data into partitions, then executes operations in parallel, ...

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Matei Zaharia, an assistant professor of computer science at MIT and the initial creator of Apache Spark, took the stage at Strata 2014 to speak about the Spark open source project and about the way ...

Apache Spark has come to represent the next generation of big data processing tools. By drawing on open source algorithms and distributing the processing across clusters of compute nodes, the Spark ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

For several years big data has been nearly synonymous with Hadoop, a relatively inexpensive way to store huge amounts of data on commodity servers. But recently banks have started using an alternative ...