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October 4-6 in Berlin, Germany
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Thursday, October 6 • 10:50 - 11:40
Fully Fault Tolerant Realtime Data Pipeline with Docker and Mesos - Rahul Kumar, Sigmoid

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Developing an end-to-end big data application right from data ingestion, data enrichment and visualisation is a very cumbersome task. In this talk, I will demonstrate how to use Apache Mesos, Marathon, Apache Spark and Docker to build a scalable, fault tolerant, responsive data platform. The result will be a real-time big data application with self-healing features — a dream for every software developer. This talk is a collection of different recipe’s that will help the developer to understand Mesos ecosystem projects and Docker.Choosing the right technologies and tools during the development phase has a major impact on the success of the whole project. Apache Mesos provides the best cluster management system, Marathon gives the feature for long-running applications,Docker allows us to package an application with all of its dependencies into a standardized unit for software development.

Speakers
avatar for Rahul Kumar

Rahul Kumar

Technical Lead, Sigmoid
Rahul Kumar working as a Technical lead with Sigmoid, He has more than 4 years of experience in Data-driven distributed application development with Java , Scala , and Akka toolkit. He developed various real-time data analytics applications using Apache Hadoop, Mesos ecosystem projects, and Apache Spark. He had given a couple of talks on Apache Spark, Reactive Dashboard and Actor Model in LinuxCon North America & Apache Bigdata Europe 2015.



Thursday October 6, 2016 10:50 - 11:40
Schinkel II/III

Attendees (35)