HADOOP USER GROUP UK : HADOOP USER GROUP MEETING
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August 19th brought the first of hopefully many Hadoop User Group meetups in the UK.
It was hosted at Skills Matter in Clerkenwell, London and featured presentations from both developers and users of Apache Hadoop.
This Hadoop User Group meeting, featured Doug Cutting, founder of Hadoop, and talks on Hadoop on Amazon s3/EC2, Smartfrog and Hadoop, Hadoop usage at Last.fm, Hadoop and Nutch, PosgreSQL, HBase and Lucene!
The event was free and anyone was welcome, and we had a full room of about 60 people. The event was sponsored by Yahoo! Developer Network (lunch+beer), Skills matter (beer) and Last fm (room hire), thanks guys!
For more information about Hadoop: http://hadoop.apache.org/core/
Talks included:
: HADOOP PANEL DISCUSSION.
Hadoop UG Panel discussion on migrating to Hadoop, MapReduce algorithms, DNS problems, testing and monitoring distributed applications.
More about Hadoop Panel Discussion
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KLAAS BOSTEELS: DUMBO: HADOOP STREAMING MADE ELEGANT AND EASY.
At Last.fm, the number of "write once, run never again" Hadoop
programs has been growing steadily, especially in the research team.
Since Java is a very verbose and compiled programming language, it is not very suitable for writing such programs. A better way to quickly write MapReduce programs is provided by Hadoop Streaming, but it still is less convenient than it could be. Dumbo is a simple enhancement to Hadoop Streaming that addresses this issue. More specifically, it is a Python module that makes Hadoop Streaming elegant and easy.
More about Dumbo: Hadoop streaming made elegant and easy
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MARK BUTLER: DISTRIBUTED LUCENE FOR HADOOP.
This talk describes a parallel, distributed free text index written at
HP Labs Bristol called Distributed Lucene. Distributed Lucene is based
on two Apache open source projects, Hadoop and Lucene, and follows a
design originally proposed by Doug Cutting. It was written to gain a
better understanding of the Apache Hadoop architecture, and to
investigate approaches to creating large, scalable free text indexes.
For more information see the accompanying HP Labs technical report.
More about Distributed Lucene for Hadoop
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DOUG CUTTING: HADOOP OVERVIEW.
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MARTIN DITTUS: HADOOP USAGE AT LAST.FM.
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MARTIN DITTUS: WELCOME AT THE HADOOP UK UG MEETING 2008.
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MARTIN DITTUS: HISTORY OF HADOOP AT LAST.FM.
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STEVE LOUGHRAN & JULIO GUIJARRO: DEPLOYING APACHE HADOOP WITH SMARTFROG.
 
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MILES OSBORNE: USING NUTCH AND HADOOP FOR NATURAL LANGUAGE PROCESSING.
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JOHAN OSKARSSON: HADOOP: LESSONS LEARNED AT LAST.FM.
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ELIAS PAMPALK: HADOOP AT LAST.FM: RADIO LOG ANALYSIS FOR A/B TESTS.
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TIM SELL: POSTGRESQL TO HBASE REPLICATION.
PostgreSQL to HBase replication:
At last.fm we are interested in ways of mixing our data in PostgreSQL
with our data in Hadoop. We would like to replicate our PostgreSQL
data to HBase, to protect our database from load and give us
Map/Reduce bindings on the data.
More about PostgreSQL to HBase Replication
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TOM WHITE: HADOOP WEB SERVICES ON AMAZON S3/EC2.
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