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Bits 'n Pieces on Big Data R&D
Information and insight into Big Data R&D
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Facebook's trillion-edge, Hadoop-based and open source graph-processing engine

Facebook's trillion-edge, Hadoop-based and open source graph-processing engine | Bits 'n Pieces on Big Data R&D | Scoop.it
Facebook has detailed its extensive improvements to the open source Apache Giraph graph-processing platform. The project, which is built on top of Hadoop, can now process trillions of connections between people, places and things in minutes.
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DG2's curator insight, September 3, 2013 5:10 AM

Many ML algorithms are most readily expressed in terms of local, vertex-centric computations. Think of label propagation, k-means, spectral clustering ... All in all, moving from vector spaces to graphs is the natural thing to do in many applications. Giraph provides an efficient way to run this kind of algorithms on top of an existing Hadoop infrastructure.

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2nd GraphLab Workshop Agenda

2nd GraphLab Workshop Agenda | Bits 'n Pieces on Big Data R&D | Scoop.it
onur savas's insight:

Many interesting systems will be presented. Includes GraphBuilder, Naiad and MLBase.

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