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Easy and Fast Stream Processing

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Andrey K. and Sivanand
Easy and Fast Stream Processing

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Attend this meetup and you will learn what DAG is and why it is so powerful for Big Data processing. We will walk you through the evolution of computing of Big Data from sequential to DAG and other techniques such as SP/SC, Cooperative Multithreading, Data Locality, In-Memory sources and sinks and WaitFree algorithms which power the third generation of Big Data processing.

This talk will also feature an introduction to Hazelcast JET, an Apache 2 licensed, DAG based platform for in-memory streaming and fast batch processing which illustrates many of the techniques found in a third generation Big Data platform. We will take you through Java coding for common tasks, then step it up to how to write full-blown applications in less than a hundred lines of Java code such as Bitcoin, Twitter sentiment analysis and real-time worldwide commercial aircraft monitoring.

The event will be live streamed here: http://youtu.be/DQM-94nHmyY

The meetup event will follow with informal networking and discussions with some food & drinks. There will be also some bonuses provided by Hazelcast.

About event speaker: Greg Luck is CEO and CTO of Hazelcast. He has been in in-memory computing for 15 years mostly in the caching space via Ehcache, Terracotta and now Hazelcast. He was co-spec lead on JCache, the Java caching standard, and serves on the Java Community Process Executive Committee.

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