An Architecture for Fast and General Data Processing on Large Clusters
Zaharia, Matei
Description
This book proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance.
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