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Cloud computing / Cloud infrastructure / Hadoop / Parallel computing / Distributed computing architecture / MapReduce / Data Intensive Computing / Apache Hadoop / RCFile / Computing / Concurrent computing / Centralized computing


ORIGINAL ARTICLE MAPREDUCE IS GOOD ENOUGH? If All You Have is a Hammer, Throw Away Everything That’s Not a Nail!
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Document Date: 2013-03-29 07:39:03


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City

Hadoop / New York / San Rafael / /

Company

IBM / ANN LIEBERT INC. / Oracle / Twitter / Microsoft / Kao / /

Currency

pence / /

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Facility

MapReduce-based warehouse / Stanford University / Jimmy Lin The iSchool University of Maryland College Park / University of Maryland College Park / /

IndustryTerm

stream-processing engine / noniterative solutions / web-scale analytical processing / text mining / faster iterative algorithms / large-scale data processing platform / iterative algorithm / software engineers / in-memory cluster computing / data stream processing / online learning / online gradient dewhich / graph processing / production solutions / iterative graph algorithm / data management applications / batch processing framework / breadth-first search / data-intensive computing / largescale graph processing / open source software / demo applications / graph algorithms / relational processing / iterative algorithms / machine learning / noniterative algorithms / incremental data processing / iterative graph algorithms / iterative data processing / online technique / data processing / graph-streaming algorithms / software engineering terms / data management / real-time results / log processing / word-alignment algorithm / social network / data processing systems / data processing framework / warehouse systems / large-scale data processing / graph-processing algorithms / large-data solutions / web advertising / stream computing platform / /

NaturalFeature

Monitoring streams / /

OperatingSystem

Pegasos / /

Organization

University of Maryland College Park / Technical Committee on Data Engineering / Royal Statistical Society / Stanford University / IEEE Computer Society / /

Person

Daniel Abadi / Jimmy Lin / Jeffrey Ullman / /

/

Position

academic researcher / as well as a software engineer / driver / bridging model for parallel computation / translator / Walker / academic researcher as well as a software engineer / critic / Dean / Author / Singer / forward / software engineer / /

Product

Franklin / MapReduce / /

ProgrammingLanguage

Datalog / /

PublishedMedium

Journal of the Royal Statistical Society / Communications of the ACM / /

SportsLeague

Stanford University / /

Technology

HMM word-alignment algorithm / machine translation / alternative / noniterative algorithms / The algorithm / machine learning / shared memory / EM algorithm / graph-processing algorithms / EM algorithms / DBMS technologies / graph algorithms / machine translation system / artificial intelligence / iterative MapReduce algorithms / iterative graph algorithm / Iterative Graph Algorithms / EM-like algorithms / RDBMS / iterative algorithm / caching / graph-streaming algorithms / faster iterative algorithms / parallel processing / /

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