DataMass 2017 Piotr Czarnas - Kappa Architecture for event processing

DataMass 2017 Piotr Czarnas - Kappa Architecture for event processing

An efficient event streaming environment must cover two use cases: streaming and full reprocessing. The process will mainly work on newest events (this is streaming) but when the business rules are changed, a full reprocessing of all events must be done. Kappa Architecture was created internally by LinkedIn and it's goal is to satisfy both those use cases. This presentation will show how Apache Kafka can be included in an event processing architecture.