Workshop Details

JAX London, 9-12 October 2017
The Conference for JAVA & Software Innovation

10 Oct 2016
09:00 - 17:00
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Google Cloud Dataflow: hands-on with real-time data processing pipelines at Google scale

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The MapReduce paper, published by Google more than 10 years ago (2004!), sparked the parallel processing revolution and gave birth to countless open source and research projects. The MapReduce model is now officially obsolete, so the new data processing model we use is the “Dataflow model” and you can see it in action in the hosted Cloud Dataflow service, or its open source Apache Beam implementation. They allow you to specify both batch and real-time data processing pipelines and have them deployed and maintained automatically – and yes, dataflow can deploy *lots* of machines to handle Google-scale problems.

Behind the Tracks

Software Architecture & Design
Software innovation & more
Microservices
Architecture structure & more
Agile & Communication
Methodologies & more
Continuous Delivery
Delivery Pipelines, Testing & more
DevOps, Container & Cloud
Everything about DevOps, Docker & Cloud platforms
Big / Fast Data
Saving, processing & more