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Java Forum Nord 2017: Riding the Jet Streams with Chris Engelbert

  • September 12, 2017 @ 9:00am-5:00pm (
    September 12, 2017 9:00am September 12, 2017 5:00pm Europe/Berlin Java Forum Nord 2017: Riding the Jet Streams with Chris Engelbert Talk: Riding the Jet Streams Speaker: Christoph Engelbert Java 8 introduced the Stream API as a modern, functional, and very powerful tool for processing collections of data. One of the main benefits of the Stream API is that it hides the details of iteration over the underlying data set, allowing for parallel processing within a single JVM, using a fork/join framework. Stream processing offers those low latency, near real-time responses with always current results. I will talk about a Stream API implementation that enables parallel processing across many machines and many JVMs. You will learn how you can use the same API to process massive data sets across large clusters, which you already know how to do in a single JVM. With an explanation of internals of the implementation, I will give an introduction to the general design behind stream processing using DAG (directed acyclic graph) engines and how an implementation provides bleeding-edge in-memory performance while still leveraging industry-wide known frameworks as Java Streams API. Learn more on javaforumnord.de Hazelcast, Inc noreply@hazelcast.com
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Talk: Riding the Jet Streams

Speaker: Christoph Engelbert

Java 8 introduced the Stream API as a modern, functional, and very powerful tool for processing collections of data. One of the main benefits of the Stream API is that it hides the details of iteration over the underlying data set, allowing for parallel processing within a single JVM, using a fork/join framework. Stream processing offers those low latency, near real-time responses with always current results.

I will talk about a Stream API implementation that enables parallel processing across many machines and many JVMs.

You will learn how you can use the same API to process massive data sets across large clusters, which you already know how to do in a single JVM. With an explanation of internals of the implementation, I will give an introduction to the general design behind stream processing using DAG (directed acyclic graph) engines and how an implementation provides bleeding-edge in-memory performance while still leveraging industry-wide known frameworks as Java Streams API.

Learn more on javaforumnord.de

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