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BigData and MapReduce with Hadoop
This video was recorded at Cloud Assisted Services in Europe (CLASS) Conference, Bled 2012 . MapReduce is a programming model implemented with a library for processing large datasets - often termed as BigData - on clusters of commodity computers. MapReduce is typically used for distributed processing of non-structured datasets. The map function processes key/value pairs and generates intermediate key/value pairs based on user specified map function. The reduce function merges and processes intermediate values belonging to the same key. A simple example of MapReduce will be shown on the open source software framework Apache Hadoop.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
