Explore the configuration changes that Cigna’s Big Data Analytics team has made to optimize the performance of its real-time architecture.
Real-time stream processing with Apache Kafka as a backbone provides many benefits. For example, this architectural pattern can handle massive, organic data growth via the dynamic addition of streaming sources such as mobile devices, web servers, system logs, and wearable device data (aka, “Internet of Things”). Kafka can also help capture data in real-time and enable the proactive analysis of that data through Spark Streaming.
