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Hadoop >> mail # user >> MapReduce scalability study


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Re: MapReduce scalability study

On Thursday, May 22, 2014 10:17:42 PM Sylvain Gault wrote:
Hello, Sylvain.
One of the reason why the Hadoop dev team began to work in YARN is precisely
looking for a more scalable and resourceful Hadoop system, so if you actually want to
talk about Hadoop scalability, you should talk about YARN and MR2.

The paper is here:
https://developer.yahoo.com/blogs/hadoop/next-generation-apache-hadoop-mapreduce-3061.html

and the related JIRA issues here:
https://issues.apache.org/jira/browse/MAPREDUCE-278
https://issues.apache.org/jira/browse/MAPREDUCE-279

You should talk with Arun C Murthy, Chief Architect at Hortonworks about all these
topics. He could help you much more than I could.

Marcos Ortiz[1] (@marcosluis2186[2])
http://about.me/marcosortiz[3]

[1] http://www.linkedin.com/in/mlortiz
[2] http://twitter.com/marcosluis2186
[3] http://about.me/marcosortiz

VII Escuela Internacional de Verano en la UCI del 30 de junio al 11 de julio de 2014. Ver www.uci.cu
 
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB