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Hyperconvergence meets BigData


Rafael Monnerat - Hyperconvergence meets BigData [EuroPython 2016] [18 July 2016] [Bilbao, Euskadi, Spain] (

This presentation show how to deploy Wendelin, the free software platform for Big Data & Machine Learning, using SlapOS , the free software hyperconverged Operating System (hOS). Written in 100% in Python, SlapOS and Wendelin, can create a complete Big Data Infraestruture with out-of-core capabilities ready to use and operate in just few hours.

This presentation aims to demonstrate how to use SlapOS (Hyperconverged OS) to deploy an entire Big Data Infrastrucure and show how "data life cycle" can be managed with Wendelin - covering ingestion, analysis, visualization and weaving it into an application.

We'll show how Wendelin and SlapOS could handle acquisition, analysis and exploitation of data, making it a potential solution for IOT scenarios where data is available and needs some logic applied before being presented as web application, possibly on a commercial basis.

The agenda of the presentation includes an introduction on SlapOS, as a tool used to deploy a wide range of different services and an introduction of Wendelin, as a tool in order to make out-of-core python applications.

After a short introduction, we progress to show the steps to deploy SlapOS infrastructure and later to deploy Wendelin on the just deployed SlapOS, including an use case which shows SlapOS deploying a fluentd instance to ingest data to the Wendelin Database.

To conclude, we make a live demo with an Jupiter using out-of-core python to handle wav files stored on Wendelin, and a second short demo on handle computer resources consumption data.

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