Divide, Distribute and Conquer — Stream v. Batch @ Philly JUG
TL;DR On September 13th 2017 I presented «Divide, Distribute and Conquer: Stream v. Batch» at Philly JUG. In this presentation I talked about how developers and data engineers are changing their perception on data processing using streaming data technologies. Table 1. Revisions history Version Date Comments v1.0 09/20/2017 Initial revision Tweets @ThePhillyJUG meetup where @gamussa talked about stream vs batch, #kafka #kafkastreams pic.twitter.com/6KlFwfnCAw — Jason Young (@jythejavaguy) September 14, 2017 @gamussa: "how many here use Gradle? Maven? Hmm, people have made some poor life choices. (J/K!)" Didn't say which was the right choice :) pic.twitter.com/rPAGZNKEoy — Jason Young (@jythejavaguy) September 14, 2017 A presentation Have you seen this? Please, rate! Loading... Slides [Philly JUG] Divide, Distribute and Conquer: Stream v. Batch from Viktor Gamov Useful links Kafka Streams [1] Confluent repo of Kafka Streams examples [2] Grab the code You can find code sample is following GH repository https://github.com/gAmUssA/kstreams-wordcount 1. https://kafka.apache.org/documentation/streams/ 2. https://github.com/confluentinc/kafka-streams-examples