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SkillsCast

Exploring Spark Streams

28th July 2016 in London at CodeNode

There are 1 other SkillsCast available from Machine Learning and Exploring Spark Streams

The nature of internet data processing is changing. Sensors. IoT devices. Online ecommerce. Social networks. All these are delivering a continuous flow of information that has to be processed and acted upon quickly. At the same time these problems require solutions that are also scalable and fault tolerant. In this talk we will explore why streams are a powerful solution to this problem, and how Spark Streaming brings Apache Spark's API to stream processing, letting you write streaming jobs the same way you write batch jobs.

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Exploring Spark Streams

Luc Bourlier

Luc has been part of the Eclipse Debug Team at IBM for the releases 2.0 to 3.1. Following other Eclipse related projects, he spent a few years recreating the distribution platform for over-the-air services at TomTom. He is now back in the Eclipse wor

SkillsCast

The nature of internet data processing is changing. Sensors. IoT devices. Online ecommerce. Social networks. All these are delivering a continuous flow of information that has to be processed and acted upon quickly. At the same time these problems require solutions that are also scalable and fault tolerant. In this talk we will explore why streams are a powerful solution to this problem, and how Spark Streaming brings Apache Spark's API to stream processing, letting you write streaming jobs the same way you write batch jobs.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Exploring Spark Streams

Luc Bourlier

Luc has been part of the Eclipse Debug Team at IBM for the releases 2.0 to 3.1. Following other Eclipse related projects, he spent a few years recreating the distribution platform for over-the-air services at TomTom. He is now back in the Eclipse wor