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GitHub - decster/nativetask: Hadoop task level native runtime
Introduction NativeTask is a high performance C++ API & runtime for Hadoop MapReduce. Why it is called NativeTask is that it is a native computing unit only focus on data processing, which is exactly what Task do in the Hadoop MapReduce context. In other word, NativeTask is not responsible for resource management, job Scheduling and fault-tolerance. Those are all managed by original Hadoop compone
Twister: Iterative MapReduce
Twister version 0.9 is now available. MapReduce programming model has simplified the implementations of many data parallel applications. The simplicity of the programming model and the quality of services provided by many implementations of MapReduce attract a lot of enthusiasm among parallel computing communities. From the years of experience in applying MapReduce programming model to various sci
Welcome to YSmart's Homepage!
The homepage of YSmartOverview YSmart is a correlation aware SQL-to-MapReduce translator, which is built on top of the Hadoop platform. For a given SQL query and related table schemas, YSmart can automatically translate the query into a series of Hadoop MapReduce programs written in Java. Compared to other SQL-to-MapReduce translators, YSmart has been proved to have the following advantages: High
Mapreduce & Hadoop Algorithms in Academic Papers (5th update – Nov 2011) | atbrox
Mapreduce & Hadoop Algorithms in Academic Papers (5th update – Nov 2011) The prior update of this posting was in May, and a lot has happened related to Mapreduce and Hadoop since then, e.g. 1) big software companies have started offering hadoop-based software (Microsoft and Oracle), 2) Hadoop-startups have raised record amounts, and 3) nosql-landscape becoming increasingly datawarehouse’ish and sq
MapReduceによる大規模データを利用した機械学習
1. 2011 2/22（火） Hadoop Conference Japan 2011 MapReduceによる大規模 データを利用した機械学習 株式会社Preferred Infrastructure 岡野原 大輔 hillbig@preferred.jp @hillbig 1 2. 自己紹介 株式会社 Preferred Infrastructure フェロー, 研究開発チームリーダー 専門分野 自然言語処理 （情報理工学博士） 携わった分野は形態素解析、文書分類/クラスタリング、専 門用語抽出、評判分類、情報抽出 機械学習,統計処理・圧縮データ構造,データ圧縮 主な業務内容 有用な技術を新規開発・発掘しプロダクトに反映 他社との共同研究開発 Hadoopを利用したデータ解析の案件も数件 2
S4: Distributed Stream Computing Platform
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Apache Hadoop: Best Practices and Anti-Patterns (Yahoo! Hadoop Blog)
Apache Hadoop is a software framework to build large-scale, shared storage and computing infrastructures. Hadoop clusters are used for a variety of research and development projects, and for a growing number of production processes at Yahoo!, EBay, Facebook, LinkedIn, Twitter, and other companies in the industry. It is a key component in several business critical endeavors representing a very sign
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GitHub - Yelp/mrjob: Run MapReduce jobs on Hadoop or Amazon Web Services
Tall-and-skinny QR factorizations in MapReduce architectures
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