Confluent & Syncsort: An Architecture for Streaming and At-Rest Data

This post introduces a partnership between Confluent and Syncsort to combine streaming data from Kafka with at-rest data from traditional databases and file systems. It highlights use cases like fraud detection, real-time reporting for hotels, and healthcare analytics, emphasizing how Kafka acts as the central nervous system for data flow and Syncsort provides the context from historical data. The architecture enables real-time decision-making by integrating batch and streaming data.