data as fast as possible (near real-time) • Use cases: • predictive maintenance, fraud detection, QoS, IoT • enterprise integration meets ‘Big Data’ • High throughput / low latency • Grouping, ordering, windowing • Transition in messaging middleware design: • Traditional (JMS-based, RabbitMQ) • To log-style: Kafka, Amazon Kinesis, Google Pub/Sub, Azure Event Hubs