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batch layer


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These layers are only a few thousand line of code to implement a total of seven steps (two for the batch layer, two for the serving layer, and three for speed layers; see Figs. 20 and 21). Fig. 22 shows that the batch layer as a part of Hadoop can easily meet robustness and fault tolerance requirements. The batch layer allows users to recompute another entire batch view from scratch. To some extent, this also means that a batch layer can perform ad hoc queries because the master dataset in one location. The combination of both batch and serving layers can record all intermediate steps of outputs (serv- ing layer) and inputs (batch layer - master dataset) for data process.

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