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HADOOP USER GROUP UK : HADOOP USER GROUP MEETING
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
KLAAS BOSTEELS: DUMBO: HADOOP STREAMING MADE ELEGANT AND EASY.
Klaas Bosteels
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
MARK BUTLER: DISTRIBUTED LUCENE FOR HADOOP.
Mark Butler
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
DOUG CUTTING: HADOOP OVERVIEW.
Doug Cutting
Doug Cutting, Hadoop Project founder at Yahoo! provides a Hadoop Overview
   More about Hadoop overview
MARTIN DITTUS: HADOOP USAGE AT LAST.FM.
Martin Dittus
Martin Dittus of Last.fm, spoke on Hadoop usage at Last.fm
   More about Hadoop usage at Last.fm
MARTIN DITTUS: WELCOME AT THE HADOOP UK UG MEETING 2008.
Martin Dittus
Welcome at the Hadoop UK UG Meeting 2008. Intro session, with crowd survey.
   More about Welcome at the Hadoop UK UG Meeting 2008
MARTIN DITTUS: HISTORY OF HADOOP AT LAST.FM.
Martin Dittus
A brief introduction to the history of Hadoop at Last.fm, their cluster setup with some usage statistics, and examples of what Hadoop is used for.
   More about History of Hadoop at Last.fm
STEVE LOUGHRAN & JULIO GUIJARRO: DEPLOYING APACHE HADOOP WITH SMARTFROG.
Steve LoughranJulio Guijarro
Steve Loughran and Julio Guijarro (HP) will talk on Smartfrog and Hadoop
   More about Deploying Apache Hadoop with Smartfrog
MILES OSBORNE: USING NUTCH AND HADOOP FOR NATURAL LANGUAGE PROCESSING.
Miles Osborne
Miles Osborne on using Nutch and Hadoop for Natural Language Processing
   More about Using Nutch and Hadoop for Natural Language Processing
JOHAN OSKARSSON: HADOOP: LESSONS LEARNED AT LAST.FM.
Johan Oskarsson
A short presentation showing some of the common issues that might pop up when using Hadoop. It tries to suggest some solutions to these problems so that others can avoid them.
   More about Hadoop: Lessons learned at Last.fm
ELIAS PAMPALK: HADOOP AT LAST.FM: RADIO LOG ANALYSIS FOR A/B TESTS.
Elias Pampalk
This talk briefly summarizes how Last.fm uses A/B tests to improve the quality of radio stations.
   More about Hadoop at Last.fm: Radio Log Analysis for A/B Tests
TIM SELL: POSTGRESQL TO HBASE REPLICATION.
Tim Sell
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
TOM WHITE: HADOOP WEB SERVICES ON AMAZON S3/EC2.
Tom White
Tom White from Lexemetech will talk on Hadoop on Amazon S3/EC2
   More about Hadoop Web Services on Amazon S3/EC2

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