Context Data

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• Open website contextdata.ai

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1. A
   Apache Hama

   Apache Hama is a retired Apache Software Foundation Top-Level Project established in 2012. It is a framework for Big Data analytics that uses the Bulk Synchronous Parallel (BSP) computing model. It also provides vertex-centric and neuron-centric programming models inspired by Google's Pregel and DistBelief. Its components include core BSP, Apache MRQL for query processing, a graph computing package, and Apache Horn for deep learning, and it integrates with Hadoop HDFS.

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   Hadoop

   Apache Hadoop is an open-source project that develops software for reliable, scalable, distributed computing. Its library is a framework for distributed processing of large data sets across clusters of computers using simple programming models, scaling from single servers to thousands of machines with local computation and storage, and detecting failures at the application layer.

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   Archive

   DataTalks.Club. A weekly newsletter about data-related things..

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   matlab bgl

   MatlabBGL is a Matlab package for working with graphs that uses the Boost Graph Library to implement graph algorithms. It is designed for large sparse graphs with hundreds of thousands of nodes and was written by David Gleich. The page lists version 4.0 as the latest release, with downloads hosted on the Matlab File Exchange.

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   InnoCentive

   InnoCentive describes itself as a science, technology and innovation crowd connecting organizations with individual solvers. Companies and universities post challenges with awards, while solvers submit proposals; the site lists live challenges and a marketplace for funded opportunities.

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   dygraphs

   dygraphs is a fast, flexible open source JavaScript charting library that allows users to explore and interpret dense data sets. Charts are interactive, with zoom, pan and mouseover available by default, and the library handles very large data sets. It works in all recent browsers.

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