Data Lake for Enterprises

Data storage layer - store all data

The data storage layer is very eminent in the Lambda Architecture pattern as this layer defines the reactivity of the overall solution to the incoming event/data streams. As per the theory of connected systems, a system is only as fast as the slowest system in the chain. Hence, if the storage layer is not fast enough, the operations performed by the near-real-time processing layer would be slow, thus hampering the near-real-time nature of the architecture.

In the overall Lambda Architecture, there are broadly two kinds of active operations on the ingested data: Batch processing and Near-Real-Time processing. The data needs for batch and Near-Real-Time processing are very different. For instance, a batch ...