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Yahoo recently submitted work to Storm that allows the messaging layer to be pluggable and provides an implementation based on Netty. This is an important step for many reasons. It enables Storm to run without dependencies on native library, and thus simplifies Storm deployment onto any OS and to the cloud. It opens up a path to add authentication and authorization to the connections between work
This page tracks the project status, incubator-wise. For more general project status, look on the project website. The Storm project graduated on 2014-09-17 Storm is a distributed, fault-tolerant, and high-performance realtime computation system that provides strong guarantees on the processing of data. 2013-09-18 Project enters incubation. 2014-02-22 Apache Storm 0.9.1-incubating released. 2014-0
From MapReduce to realtime This post covers much of the Near-Realtime Processing Over HBase talk I’m giving at ApacheCon NA 2013 in blog form. It also draws from the Hadoop, HBase, and Healthcare talk from StrataConf/Hadoop World 2012. The first significant use of Hadoop at Cerner came in building search indexes for patient charts. While creation of simple search indexes is almost commoditized, we
A lot has changed at Yahoo! last year. We have new leaders, we gained millions in new audience*, we saw engagement gains from Social Bar, and we released several successful mobile apps such as Flickr and Yahoo! Mail. But with all that change, there is one thing that has remained constant, and that is our commitment to pioneering new ground for Hadoop. I was well aware of the rich legacy behind Had
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