Which architecture combines batch processing and real-time stream processing?a.Lambda Architectureb.Kappa Architecturec.Sigma Architectured.Lambda Architecture

Answer

The correct answer is a. Lambda Architecture.

Explanation

Lambda Architecture is designed to handle massive quantities of data by combining both batch processing and real-time stream processing. It achieves this through its three-layered approach:

1. Batch Layer: This layer manages the batch processing of data and produces views by processing large volumes of historical data.
2. Speed Layer: Here, real-time data is processed immediately as it arrives, producing low-latency updates to the views.
3. Serving Layer: This layer merges the results from the batch and speed layers to provide a unified view of the data.

In contrast, Kappa Architecture simplifies the process by having a single pipeline for stream processing, while Sigma Architecture is not as commonly referenced in this context. Thus, Lambda Architecture is the one that effectively combines both processing methods.