Tag: Storm
Episode 436: Apache Samza with Yi Pan
Yi Pan, lead maintainer of Apache Samza discusses the internals of the Samza project as well as the Stream Processing ecosystem. Host Adam Conrad spoke with Pan about the three core aspects of the Samza framework, how it compares to other streaming systems like Spark and Flink, as well as advice on how to handle […]
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 […]
