Stream Processing Scalability: Challenges and Solutions
出处：
www.ververica.com
作者：
Ververica
Stream processing is a programming paradigm which views data streams, or sequences of events in time, as the central input and output objects of computation. This enables organizations to harness the value of data immediately, making it a valuable tool for time-sensitive applications and scenarios requiring up-to-the-minute insights. Stream processing systems excel at handling high-velocity, unbounded data streams, such as click streams, log streams, live sensor data, social media feeds
