Hi All, I read a couple of article about Kappa and Lambda Architecture.
http://www.confluent.io/blog/real-time-stream-processing-the-next-step-for-apache-flink/ I'm convince that Flink will simplify this one with streaming. However i also stumble upon this blog post that has valid argument to have a system of record storage ( event sourcing ) and finally lambda architecture is appear at the solution. Basically it will write twice to Queuing system and C* for safety. System of record here is basically storing the event (delta). [image: Inline image 1] https://lostechies.com/ryansvihla/2015/09/17/event-sourcing-and-system-of-record-sane-distributed-development-in-the-modern-era-2/ Another approach is about lambda architecture for maintaining the correctness of the system. https://lostechies.com/ryansvihla/2015/09/17/real-time-analytics-with-spark-streaming-and-cassandra/ Given that he's using Spark for the streaming processor, do we have to do the same thing with Apache Flink ? Cheers -- Welly Tambunan Triplelands http://weltam.wordpress.com http://www.triplelands.com <http://www.triplelands.com/blog/>
