Hi, The document helps a lot thanks. I need to know how to work with Hadoop and R in a parallel clsuter environment.
HIVE is a new system on top of Hadoop that uses a SQL derivative to query it. http://hadoop.apache.org/hive/ Regards, Ajay On Fri, Jul 31, 2009 at 7:23 PM, Avram Aelony <aav...@mac.com> wrote: > > > I am not sure if I understood your question, but you may want to look at > http://cran.r-project.org/web/packages/HadoopStreaming/HadoopStreaming.pdf > Regards, > > Avram > > > > On Friday, July 31, 2009, at 02:39PM, "Ajay ohri" <ohri2...@gmail.com> > wrote: > >Hive <http://hadoop.apache.org/hive/> is a data warehouse infrastructure > >built on top of Hadoop that provides tools to enable easy data > >summarization, adhoc querying and analysis of large datasets data stored > in > >Hadoop files. It provides a mechanism to put structure on this data and it > >also provides a simple query language called QL which is based on SQL and > >which enables users familiar with SQL to query this data. At the same > time, > >this language also allows traditional map/reduce programmers to be able to > >plug in their custom mappers and reducers to do more sophisticated > analysis > >which may not be supported by the built in capabilities of the language. > > > >Is there any package currently out or in development that is looking into > >using R like matrix capabilties with HIVE like big data abilties on a > >remote/ parallel HPC. > > > >Regards, > > > >Ajay > > > > [[alternative HTML version deleted]] > > > >______________________________________________ > >R-help@r-project.org mailing list > >https://stat.ethz.ch/mailman/listinfo/r-help > >PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. > > > > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
