The Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. It achieves this by processing data through three layers: the batch layer, the speed layer, and the serving layer. The batch layer stores the master dataset and pre-computes batch views. The speed layer processes recent data streams to provide real-time views. The serving layer merges these views to provide comprehensive results. This architecture aims to provide low latency and fault tolerance while ensuring eventual consistency.
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