'Reduce task' diaporamas de présentation

Introduction to cloud computing

Introduction to cloud computing. Jiaheng Lu Department of Computer Science Renmin University of China www.jiahenglu.net. Overview. Hadoop Technical Walkthrough HDFS Databases Using Hadoop in an Academic Environment Performance tips and other tools. Some MapReduce Terminology.

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theregister.co.uk/2013/06/08/facebook_cloud_versus_cloud/

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Camdoop : Exploiting In-network Aggregation for Big Data Applications

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Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications

Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications. Judy Qiu xqiu@indiana.edu http://salsahpc.indiana.edu School of Informatics and Computing Indiana University. April 15, 2011 University of Alabama. Challenges for CS Research.

900 views • 62 slides

WINTER

Kyonggi University. DBLAB. Haesung Lee. WINTER. Template. Distributed Computing at Web Scale. Introduction. Data analysis at a large scale. Very large data collections (TB to PB) stored on distributed file systems Query logs Search engine indexed Sensor data

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Hadoop Training in Hyderabad | Hadoop training institutes in Hyderabad

Hadoop Institutes : kelly technologies is the best Hadoop Training Institutes in Hyderabad. Providing Hadoop training by real time faculty in Hyderabad

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Grids and Clouds for Cyberinfrastructure

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Distributed Systems CS 15-440

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Hadoop institutes in Bangalore

Best Hadoop Institutes : kelly tecnologies is the best Hadoop training Institute in Bangalore.Providing hadoop courses by realtime faculty in Bangalore.

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MapReduce Programming

MapReduce Programming. Yue-Shan Chang. User Program. (1) fork. (1) fork. (1) fork. Master. (2) assign map. (2) assign reduce. worker. split 0. (6) write. output file 0. worker. split 1. (5) remote read. (3) read. split 2. (4) local write. worker. split 3. output file 1.

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Jimmy Lin The iSchool University of Maryland Wednesday, February 6, 2008

Cloud Computing Lecture #4 Graph Algorithms with MapReduce. Jimmy Lin The iSchool University of Maryland Wednesday, February 6, 2008.

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Shahram Ghandeharizadeh Computer Science Department University of Southern California

MapReduce Dean and Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM, Vol. 51, No. 1, January 2008. Shahram Ghandeharizadeh Computer Science Department University of Southern California. A Shared-Nothing Framework.

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Hadoop

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Hadoop: A Software Framework for Data Intensive Computing Applications

Hadoop: A Software Framework for Data Intensive Computing Applications. Ravi Mukkamala Department of Computer Science Old Dominion University Norfolk, VA, USA mukka@cs.odu.edu. What is Hadoop?.

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Hadoop: A Software Framework for Data Intensive Computing Applications

Hadoop: A Software Framework for Data Intensive Computing Applications. Ravi Mukkamala Department of Computer Science Old Dominion University Norfolk, VA, USA mukka@cs.odu.edu. What is Hadoop?.

314 views • 22 slides

Hadoop online training

Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore

393 views • 22 slides

Stress

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Ravi Namboori Equinix on Hadoop Mapreduce Execution

Over view of running a MapReduce Job in Hadoop is explained by Ravi Namboori a Data Center Expert. Every step by step Process from Job Submission , Job initialization, Task Assignment & heartbeat, Task Execution & Task Runner. Also search for many Hadoop ppts from Ravi Namboori.

320 views • 9 slides