Batch Processing
Papers MapReduce: Simplified Data Processing on Large Clusters, Large-scale Incremental Processing Using Distributed Transactions and Notifications, Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing and The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
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Lessons that use this board
Batch Processing. BATCH PROCESSING
crunch a big, BOUNDED dataset offline: Unix pipes → MapReduce → dataflow engines
three system types: SERVICES (online, answer requests — latency) · BATCH (offline,
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