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During this 'live-coding' presentation, you will implement a couple of stream data processing examples using both the Akka-Stream and Scalaz-stream libraries, introducing their core concepts and highlighting key differences.
Stream data processing is becoming increasingly popular, providing elegant abstractions to solve a large number of everyday problems. Plus it’s at the core of the “reactive” movement! The akka-stream and scalaz-stream libraries are the two popular libraries for single-node stream processing in the Scala ecosystem.
Both libraries share a common design goal, to provide compositionality, but they take different routes to satisfy that requirement. Akka-stream puts an emphasis on implementing the reactive streams standard and is actor-based, while scalaz-stream aims at isolating effects and providing a possibly pure FP library. This talk compares and contrasts these systems.
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Streams: reactive? functional? Or: akka- & scalaz- streams side-by-side
Adam is one of the co-founders of SoftwareMill, a company specialising in delivering customised software solutions. He codes mostly on the back-end using Scala and other interesting technologies. Adam created a couple of open-source projects, such as sttp, MacWire, Hibernate Envers and ElasticMQ. He has been a speaker at major conferences, such as Devoxx, JavaOne, LambdaConf and ScalaDays.