Difference between revisions of "SHARD - A distributed triple-store built on top of Hadoop"

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vC89N5 <a href="http://nefrodkzzfpa.com/">nefrodkzzfpa</a>, [url=http://jdcuqhpaqukb.com/]jdcuqhpaqukb[/url], [link=http://efoqlcnlztks.com/]efoqlcnlztks[/link], http://pyhhyatvhohx.com/
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Date
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  January 9, 2011
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Slides
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[http://www.dist-systems.bbn.com/people/krohloff/papers/2011/Rohloff_Meetup_01_09_2011.pdf PDF]
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session-level: intermediate-advanced<br>
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session-type: technology-coding
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We will run a webcast with Kurt Rohloff from BBN early in 2011. Please be advised that this will be an advanced session with a technology focus and discussion around source code and implementation specific details BoF style.
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Kurt Rohloff is a scientist at BBN Technologies. He recently designed, built and released a proof of-concept distributed triple-store called SHARD.
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SHARD is built on top of the Hadoop MapReduce implementation to provide distributed, scalable performance. The SHARD source is on sourceforge with a BSD open-source license and configured to run with Hadoop 0.18. Kurt has given talks about SHARD to the most recent SemTech and HadoopWorld workshops. There's a small community of people working with SHARD that he is trying to grow and foster.
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Here are the relevant pages with the code and documentation if you're interested:
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*http://www.dist-systems.bbn.com/people/krohloff/shard.shtml
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*https://sourceforge.net/projects/shard-3store/

Revision as of 15:29, 18 February 2017

Date

January 9, 2011

Slides

PDF

session-level: intermediate-advanced
session-type: technology-coding

We will run a webcast with Kurt Rohloff from BBN early in 2011. Please be advised that this will be an advanced session with a technology focus and discussion around source code and implementation specific details BoF style.

Kurt Rohloff is a scientist at BBN Technologies. He recently designed, built and released a proof of-concept distributed triple-store called SHARD.

SHARD is built on top of the Hadoop MapReduce implementation to provide distributed, scalable performance. The SHARD source is on sourceforge with a BSD open-source license and configured to run with Hadoop 0.18. Kurt has given talks about SHARD to the most recent SemTech and HadoopWorld workshops. There's a small community of people working with SHARD that he is trying to grow and foster.

Here are the relevant pages with the code and documentation if you're interested: