Building Streaming And Fast Data Applications With Spark, Mesos, Akka, Cassandra And Kafka

In this webinar with Sean Glover, Senior Consultant at Lightbend and industry veteran, we examine the rise of streaming systems built around Spark, Mesos, Akka, Cassandra and Kafka, their role in handling endless streams of data to gain real-time insights, and how Lightbend Fast Data Platform (FDP) brings them together in a comprehensive, easy to use, integrated platform, which includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications.

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@myfear
September 14, 2016

Akka Streams Kafka - A behind the scenes Interview

Apache Kafka is the leading distributed messaging system, and Reactive Streams is an emerging standard for asynchronous stream processing. The reactive-kafka project combining the two technologies just recently joint forces with the the Akka team and the resulting collaboration lead to the latest 0.11 release which comes with some major updates. I was interested in learning a little bit more about the history and had a chance to interview Chris.

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Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization

The gambling industry has arguably been one of the most comprehensively affected by the internet revolution, and if an organization such as William Hill hadn't adapted successfully it would have disappeared. Watch Patrick Di Loreto, R&D Engineering lead for William Hill, deliver to nearly 1300 registrants what his company is doing to grow in a fast-paced industry where milliseconds can matter to users and real-time data analysis and reactions are the keys to competitive advantage. 

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Event

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REACTIVE SUMMIT 2017
Austin (TX) - October 18-20

Ebook

Reactive Microservices Architecture

by Jonas Bonér

Ebook

Fast Data Architectures For Streaming Applications

by Dean Wampler

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Infoguide

Lightbend Reactive Platform

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