Tag: Storm
SE-Radio Episode 272: Frances Perry on Apache Beam
Jeff Meyerson talks with Frances Perry about Apache Beam, a unified batch and stream processing model. Topics include a history of batch and stream processing, from MapReduce to the Lambda Architecture to the more recent Dataflow model, originally defined in a Google paper. Dataflow overcomes the problem of event time skew by using watermarks and […]
Episode 222: Nathan Marz on Real-Time Processing with Apache Storm
Nathan Marz is the creator of Apache Storm, a real-time streaming application. Storm does for stream processing what Hadoop does for batch processing. The project began when Nathan was working on aggregating Twitter data using a queue-and-worker system he had designed. Many companies use Storm, including Spotify, Yelp, WebMD, and many others. Jeff and Nathan […]
