https://www.bibsonomy.org/user/sac/mapreduceBibSonomy RSS Feed for /user/sac/mapreducehttps://news.ycombinator.com/item?id=6706545sac2013-11-11T10:54:37+01:00bigdate mapreduce usecase <a itemprop="url" data-versiondate="2013-11-11T10:54:37+01:00" href="https://news.ycombinator.com/item?id=6706545" rel="nofollow" class="description-link">https://news.ycombinator.com/item?id=6706545</a>http://nosql.mypopescu.com/post/392418792/translate-sql-to-mongodb-mapreducesac2013-08-22T13:52:32+02:00cheatsheet mapreduce mongodb query sql <a itemprop="url" data-versiondate="2013-08-22T13:52:32+02:00" href="http://nosql.mypopescu.com/post/392418792/translate-sql-to-mongodb-mapreduce" rel="nofollow" class="description-link">http://nosql.mypopescu.com/post/392418792/translate-sql-to-mongodb-mapreduce</a>MRQL (the Map-Reduce Query Language) is an SQL-like query language for map-reduce computations. It is implemented on top of Apache's Hadoop. MRQL is powerful enough to express most common data analysis tasks over many different kinds of raw data, including hierarchical data and nested collections, such as XML data. It is more powerful than other current languages, such as Hive and Pig Latin, since it can operate on more complex data and supports more powerful query constructs, thus eliminating the need for using explicit map-reduce code. http://lambda.uta.edu/mrql/sac2012-08-16T10:06:18+02:00hadoop mapreduce query <span itemprop="description">MRQL (the Map-Reduce Query Language) is an SQL-like query language for map-reduce computations. It is implemented on top of Apache&#039;s Hadoop. MRQL is powerful enough to express most common data analysis tasks over many different kinds of raw data, including hierarchical data and nested collections, such as XML data. It is more powerful than other current languages, such as Hive and Pig Latin, since it can operate on more complex data and supports more powerful query constructs, thus eliminating the need for using explicit map-reduce code. </span>http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdfsac2012-08-02T15:24:56+02:00ebook graph hadoop mapreduce <a itemprop="url" data-versiondate="2012-08-02T15:24:56+02:00" href="http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdf" rel="nofollow" class="description-link">http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdf</a>Xadoop is a project that combines XQuery and Hadoop. It aims to automatically parallelize a given XQuery program and run it on Hadoop.http://sourceforge.net/projects/xadoop/sac2012-08-01T11:22:32+02:00hadoop mapreduce xadoop xml xquery <span itemprop="description">Xadoop is a project that combines XQuery and Hadoop. It aims to automatically parallelize a given XQuery program and run it on Hadoop.</span>Browser-based distributed computing -- proof of concept / work in progresshttp://code.google.com/p/mrjs/sac2012-03-22T18:22:57+01:00browser client computing js mapreduce <span itemprop="description">Browser-based distributed computing -- proof of concept / work in progress</span>A list of Group papers for MapReduce Applications. Articles include: 'Nephele: Genotyping via Complete Composition Vectors and MapReduce' by Marc E Colosimo, Matthew W Peterson, Scott Mardis et al., 'Clustering Very Large Multi-dimensional Datasets with MapReduce' by Robson L F Cordeiro, Julio López, Christos Faloutsos and 'Yahoo! Research Small World Experiment' by Yahoo!, Facebookhttp://www.mendeley.com/groups/1058401/mapreduce-applications/papers/sac2012-03-19T16:16:13+01:00applications mapreduce papers <span itemprop="description">A list of Group papers for MapReduce Applications. Articles include: &#039;Nephele: Genotyping via Complete Composition Vectors and MapReduce&#039; by Marc E Colosimo, Matthew W Peterson, Scott Mardis et al., &#039;Clustering Very Large Multi-dimensional Datasets with MapReduce&#039; by Robson L F Cordeiro, Julio López, Christos Faloutsos and &#039;Yahoo! Research Small World Experiment&#039; by Yahoo!, Facebook</span>http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/sac2012-02-09T21:55:59+01:00algorithms mapreduce patterns <a itemprop="url" data-versiondate="2012-02-09T21:55:59+01:00" href="http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/" rel="nofollow" class="description-link">http://highlyscalable.wordpress.com/2012/02/01/mapreduce-patterns/</a>