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Mapreduce Dremel published presentations and documents on DocSlides.

Optimizing Joins in a MapReduce Environment Foto N

Optimizing Joins in a MapReduce Environment Foto N

  • liane-varnes
  • 17 Slides

Afrati National Technical University of AthensGre...

Building a HighLevel Dataow System on top of MapReduce The Pig Experience Alan F

Building a HighLevel Dataow System on top of MapReduce The Pig Experience Alan F

  • natalia-silvester
  • 12 Slides

Gates Olga Natkovich Shubham Chopra Pradeep Kamat...

MapReduce for Machine Learning on Multicore ChengT ao Chu chengtaostanford

MapReduce for Machine Learning on Multicore ChengT ao Chu chengtaostanford

  • tatiana-dople
  • 8 Slides

edu Sang Kyun Kim skkim38stanfordedu YiAn Lin ianl...

MapReduce Simplied Data Pr ocessing on Lar ge Clusters

MapReduce Simplied Data Pr ocessing on Lar ge Clusters

  • sherrill-nordquist
  • 13 Slides

com sanjaygooglecom Goo gle Inc Abstract MapReduce...

Parallel Data Processing with MapReduce A Survey Kyong

Parallel Data Processing with MapReduce A Survey Kyong

  • marina-yarberry
  • 10 Slides

com yoonjoonleekaistackr Hyunsik Choi Yon Dohn Chu...

Comparing ForkJoin and MapReduce Robert Stewart and Jeremy Singer Mathematical and Computer Sciences Heriot Watt University Edinburgh School of Computing Science University of Glasgow Abstract This p

Comparing ForkJoin and MapReduce Robert Stewart and Jeremy Singer Mathematical and Computer Sciences Heriot Watt University Edinburgh School of Computing Science University of Glasgow Abstract This p

  • sherrill-nordquist
  • 20 Slides

We use the Java forkjoin framework for forkjoin a...

Ideal Interconnect Realistic Interconnect Ideal Interconnect Realistic Interconnect Data Serving MapReduceC MapReduceW SAT Solver Web Frontend Web Search

Ideal Interconnect Realistic Interconnect Ideal Interconnect Realistic Interconnect Data Serving MapReduceC MapReduceW SAT Solver Web Frontend Web Search

  • cheryl-pisano
  • 12 Slides

9 10 11 12 13 12481632 Performance normalized to 1...

Optimization for iterative queries on MapReduce Makoto Onizuka Hiroyuki Kato Soichiro Hidaka Keisuke Nakano Zhenjiang Hu NTT Software Innovation Center National Institute of Informatics Universit

Optimization for iterative queries on MapReduce Makoto Onizuka Hiroyuki Kato Soichiro Hidaka Keisuke Nakano Zhenjiang Hu NTT Software Innovation Center National Institute of Informatics Universit

  • briana-ranney
  • 12 Slides

makotolabnttcojp kato hidaka niiacjp kskcsuecacjp ...

Summingbird A Framework for Integrating Batch and Online MapReduce Computations Oscar Boykin Sam Ritchie Ian OConnell and Jimmy Lin Twitter Inc

Summingbird A Framework for Integrating Batch and Online MapReduce Computations Oscar Boykin Sam Ritchie Ian OConnell and Jimmy Lin Twitter Inc

  • marina-yarberry
  • 11 Slides

San Francisco California posco sritchie 0x138 lin...

Brute Force and Indexed Approaches to Pairwise Document Similarity Comparisons with MapReduce Jimmy Lin The iSchool College of Information Studies University of Maryland National Center for Biotechno

Brute Force and Indexed Approaches to Pairwise Document Similarity Comparisons with MapReduce Jimmy Lin The iSchool College of Information Studies University of Maryland National Center for Biotechno

  • test
  • 8 Slides

S National Library of Medicine jimmylinumdedu ABST...

A Model of Computation for MapReduce Howard Karlo Sidd

A Model of Computation for MapReduce Howard Karlo Sidd

  • tawny-fly
  • 11 Slides

Used daily at companies such as Yahoo Google Amaz...

Parallel Data Processing with MapReduce A Survey Kyong

Parallel Data Processing with MapReduce A Survey Kyong

  • jane-oiler
  • 10 Slides

com yoonjoonleekaistackr Hyunsik Choi Yon Dohn Chu...

Densest Subgraph in Streaming and MapReduce Bahman Bah

Densest Subgraph in Streaming and MapReduce Bahman Bah

  • kittie-lecroy
  • 12 Slides

edu Ravi Kumar Yahoo Research Sunnyvale CA ravikum...

Restore

Restore

  • yoshiko-marsland
  • 27 Slides

：. R. eusing . results . of . mapreduce. . job...

MapReduce

MapReduce

  • alexa-scheidler
  • 17 Slides

With . a heavy debt to:. Google Map Reduce OSDI 2...

MapReduce

MapReduce

  • debby-jeon
  • 39 Slides

: Simplified Data Processing on Large Clusters. J...

High Level Language: Pig Latin

High Level Language: Pig Latin

  • marina-yarberry
  • 36 Slides

Hui. Li. Judy . Qiu. Some material adapted from...

4 . Scalability and

4 . Scalability and

  • faustina-dinatale
  • 16 Slides

MapReduce. Prof. Tudor Dumitraș. Assistant Profe...

Supercharging Analytics on Big Data

Supercharging Analytics on Big Data

  • alexa-scheidler
  • 16 Slides

Announcing 1000+ . MapReduce. -ready Advanced Ana...

Science in Clouds

Science in Clouds

  • conchita-marotz
  • 22 Slides

S. A. L. S. A. Team. salsaweb. /salsa. . Comm...

Benchmarking “No One Size Fits All”

Benchmarking “No One Size Fits All”

  • trish-goza
  • 30 Slides

Big Data Analytics. BigFrame Team. The Hong Kong ...

Panel Session

Panel Session

  • ellena-manuel
  • 21 Slides

The Challenges at the Interface of Life Sciences ...

Twister4Azure: Parallel Data Analytics on Azure

Twister4Azure: Parallel Data Analytics on Azure

  • alexa-scheidler
  • 43 Slides

S. A. L. S. A. . HPC Group . http://. salsahpc....

Chansup Byun, William Arcand, David Bestor, Bill Bergeron,

Chansup Byun, William Arcand, David Bestor, Bill Bergeron,

  • celsa-spraggs
  • 28 Slides

2012 IEEE High Performance Extreme Computing Conf...

What’s

What’s

  • phoebe-click
  • 29 Slides

all the Buzz about . Hadoop . and Hive?. Cindy Gr...

O’Reilly –

O’Reilly –

  • liane-varnes
  • 20 Slides

Hadoop. : The Definitive Guide. Ch.1 Meet . Hadoo...

15-446 Distributed Systems

15-446 Distributed Systems

  • pamella-moone
  • 101 Slides

Spring 2009. L-25 Cluster Computing. Overview. Go...

Appliance-based architectures for high performance data int

Appliance-based architectures for high performance data int

  • jane-oiler
  • 21 Slides

Session at . Silicon India. Rajgopal Kishore. Vic...

Making Apache

Making Apache

  • karlyn-bohler
  • 23 Slides

Hadoop. . Secure. Devaraj Das. ddas@apache.org. ...

CS525

CS525

  • alexa-scheidler
  • 10 Slides

:. . Big . Data . Analytics. KMeans. Clustering...

SALSA Group’s Collaborations with Microsoft

SALSA Group’s Collaborations with Microsoft

  • briana-ranney
  • 25 Slides

S. A. L. S. A. Group. http://salsahpc.indiana.e...

Accelerated Path-Based Timing Analysis with MapReduce

Accelerated Path-Based Timing Analysis with MapReduce

  • trish-goza
  • 25 Slides

Tsung. -Wei Huang. and Martin D. F. Wong. Depart...

Operating Systems and The

Operating Systems and The

  • lois-ondreau
  • 49 Slides

Cloud, Part II: Search => Cluster Apps => S...

ETTI Colloquia,

ETTI Colloquia,

  • phoebe-click
  • 35 Slides

Nov. 6, 2014. *. Can. Parallel Computing . Be Li...

Oracle and/or Hadoop

Oracle and/or Hadoop

  • briana-ranney
  • 48 Slides

And what you need to know…. Jean-Pierre . Dijck...

Debugging in Hadoop

Debugging in Hadoop

  • alida-meadow
  • 18 Slides

. The map and reduce functions in MapReduce are ...

1 Degraded-First Scheduling for MapReduce in Erasure-Coded

1 Degraded-First Scheduling for MapReduce in Erasure-Coded

  • min-jolicoeur
  • 34 Slides

Runhui Li, . Patrick P. C. Lee. , . Yuchong. Hu....

1 Multicore and Cloud Futures

1 Multicore and Cloud Futures

  • mitsue-stanley
  • 22 Slides

CCGSC. September 15 . 2008. Geoffrey Fox. Communi...

The Elephant in the Room

The Elephant in the Room

  • tatyana-admore
  • 71 Slides

A DBA’s Guide to Hadoop & Big Data. Purpose...

Applying Twister for Scientific Applications

Applying Twister for Scientific Applications

  • olivia-moreira
  • 30 Slides

NSF Cloud PI Workshop. March 17, 2011. . Judy Q...

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