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DESCRIPTION:Click for Latest Location Information: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5528\nThe tutorial will cover Hadoop basics and discuss best practices using Hadoop in enterprises dealing with large data sets. We will look into the current data problems you are dealing with and potential use cases of using Hadoop in your infrastructure. The presentation covers the Hadoop architecture and its main components: Hadoop Distributed File System (HDFS) and MapReduce. We will present case studies on how other enterprises are using Hadoop and look into what it takes to get Hadoop up and running in your environment.\nTwo case studies will be presented covering near-real time data processing scenario and Hadoop cluster implementation for large clusters (2,000 - 4,000 nodes). The near-real time case study can be used as guidance for building the infrastructure of near-real time architecture. All components used in architecture are open sourced under Apache license and will provide cost effective solution for solving big data\nproblems\nBy attending this tutorial, the attendees will be able to:\n\nUnderstand Hadoop main components and Architecture\nBe comfortable working with Hadoop Distributed File System\nUnderstand MapReduce abstraction and how it works\nUnderstand components of a MapReduce job\nKnow best practices of using Hadoop in the enterprise\n
DTSTART:20130821T090000
SUMMARY:Introduction to Hadoop, MapReduce and HDFS for Big Data Applications
DTEND:20130821T115959
LOCATION: See Description
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