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Bookmark or Share- mapreduce - Difference between Hadoop Map Reduce and Google Map Reduce ...Google MapReduce and Hadoop are two different implementations (instances) of the MapReduce framework/concept. Hadoop is open source , Google MapReduce is not and actually there are not so many available details about it. Since they work with large data sets, they have to rely on distributed file systems.
- A starting point for learning how to implement MapReduce/Hadoop in ...For those who like MOOC as an option there is Intro to Hadoop and Mapreduce on Udacity, made in collaboration with Cloudera. During the course you have a chance to install Cloudera Hadoop Distribution virtual machine locally and perform some map/reduce jobs on sample datasets.
- How does the MapReduce sort algorithm work? - Stack OverflowOne of the main examples that is used in demonstrating the power of MapReduce is the Terasort benchmark. I'm having trouble understanding the basics of the sorting algorithm used in the MapReduce environment. To me sorting simply involves determining the relative position of an element in relationship to all other elements.
- Good MapReduce examples - Stack OverflowMapReduce is a framework originally developed at Google that allows for easy large scale distributed computing across a number of domains. Apache Hadoop is an open source implementation. I'll gloss over the details, but it comes down to defining two functions: a map function and a reduce function.
- frameworks - Simple explanation of MapReduce? - Stack OverflowThe reason MapReduce is split between Map and Reduce is because different parts can easily be done in parallel. (Especially if Reduce has certain mathematical properties.) For a complex but good description of MapReduce, see: Google's MapReduce Programming Model -- Revisited (PDF).
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