Computer Science · Big Data Architecture

Consider the following statements regarding Lambda and Kappa Big Data architectures: A. The Batch layer in a Lambda architecture processes the entire historical master dataset to ensure high accuracy, though it typically results in high latency. B. In a Lambda architecture, the Serving layer is responsible for merging the views from the Batch and Speed layers to provide both accuracy and recency. C. Kappa architecture is defined as a complex extension of Lambda architecture that adds an additional archival layer for batch processing. D. Kappa architecture simplifies data processing by eliminating the batch layer and treating all data exclusively as streams. Choose the most appropriate answer from the options given below: