Lambda and Kappa Architectures for Data Processing in Healthcare Analytics

Girish Ganachari

Abstract: Healthcare data processing benefits and downsides of Lambda and Kappa architectures. Nate Marz created the lambda architecture to accurately and reliably store massive datasets. Batch, speed, and serving layers do this. Data is stream processed in real time using Jay Kreps' Kappa architecture. The two platforms may enhance hospital operations, decision - making, and patient outcomes. The combination of edge computing, AI, and machine learning optimises systems. This link enables real - time data processing, latency reduction, and security. This study suggests these technologies might change healthcare delivery.

Keywords: Lambda architecture, Kappa architecture, healthcare data processing, real - time analytics, edge computing, machine learning