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· 2012

Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave et al.

Short summary

We introduce Resilient Distributed Datasets (RDDs), a new in-memory data abstraction designed for large-scale cluster computing that enables fault-tolerant, high-performance computations.

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Field: Information Systems

Information SystemsComputer Science