Handling RDF data with tools from the Hadoop ecosystem

Location: Thames Suite Level: Advanced
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As open data and linked data communities grow, so do the number and average size of datasets freely available. Often these datasets are modelled and shared using RDF.

RDF offers a graph based data model to represent, share, link and integrate data on the Web.

This talk shares some of the use cases, tips and tricks and practical examples of how to use effectively tools from the Hadoop ecosystem to process large RDF datasets.

Photo of Paolo Castagna

Paolo Castagna


I am an addicted to data (mostly RDF) and a committer for the Apache Jena project.

I used Jena together with Hadoop/MapReduce in my previous jobs at HP Labs and Talis Systems Ltd. Currently I work as Solution Architect at Cloudera.


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