Sessions at GOTO Amsterdam 2011 about Hadoop

Friday 14th October 2011

• NoSQL: Building three Hadoop clusters in a year (and why you should build one too)

  by Friso van Vollenhoven

  In this talk I will explain why it is that I spent the past year building Hadoop clusters for several clients in several markets. I will outline what the Apache Hadoop framework is from a technical point of view and I will explain why it could be as relevant as its popularity suggest, also from a technical and application perspective. There will be examples of what you can and cannot do with it and when it makes sense to use such a technology. And, last but not least, there will be cool things that you can try at home (or at your office, given time), because you should build a Hadoop cluster too! Code will be involved...

  Keywords: Hadoop, Big Data, scalable processing, NoSQL, Cloud, Java

  Target Audience: Developers and architects who agree that data is an asset which should be used to extract valuable information.

  • Big Data
  • Hadoop
  • NoSQL

  At 10:20am to 11:10am, Friday 14th October

• Apache: HBase Deploys

  by Michael Stack

  HBase has seen some interesting deploys of late whether its Yahoo! hosting a copy of the Bing crawl (on a thousand node cluster) or Facebook real-time analytics' taking millions of hits a second. In this talk we will review notable cases of HBase in production and give an update on the current state of "Realtime" Hadoop.

  Keywords: hbase, hadoop, apache, big data
  Target Audience: Folks interested in big data deploys. This is not a deep technical talk.

  • Big Data
  • Hadoop
  • HBase

  At 1:20pm to 2:10pm, Friday 14th October

• Apache: Data driven applications based on Apache projects

  by Isabel Drost

  Storing ever growing amounts of data is getting cheaper each year. Building great applications requires data driven application design: Starting with clear guidelines on which data to gather, building new features based on usage data up to discovering deficiencies based on implicit user feedback.

  Several projects at the ASF make it possible to jump start your data driven applications with existing projects for data analysis, search, storage and data mining. This talk shows how to combine the various tools, helps with understanding what pigs, elephants and mahouts can do for you.

  Keywords: data mining, machine learning, data analysis, hadoop, mahout, lucene
  Target Audience: should be somewhat knowledgeable in hadoop, can be beginner in data mining/analytics

  • Apache
  • Data Mining
  • Hadoop
  • Lucene
  • Mahout

  At 3:50pm to 4:40pm, Friday 14th October