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MapReduce is a software framework introduced by Google in 2004 to support distributed computing on large data sets on clusters of computers. Parts of the framework are patented in some countries.
The framework is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.
MapReduce libraries have been written in C++, C#, Erlang, Java, OCaml, Perl, Python, PHP, Ruby, F#, R and other programming languages.
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In easy to read chapters, with extensive references and links to get you to know all there is to know about MapReduce right away. A quick look inside: MapReduce, Aggregate Level Simulation Protocol, Amazon Relational Database Service, Amazon SimpleDB, Amoeba distributed operating system, Art of War Central, Autonomic Computing, Citrusleaf database, Client-server model, Code mobility, Connection broker, CouchDB, Data Diffusion Machine, Database-centric architecture, Distributed application, Distributed data flow, Distributed database, Distributed design patterns, Distributed Interactive Simulation, Distributed lock manager, Distributed memory, Distributed object, Distributed shared memory, Distributed social network, Dryad (programming), Dynamic infrastructure, Edge computing, Explicit multi-threading, Fabric computing, Fallacies of Distributed Computing, Fragmented object, Gemstone (database), HyperText Computer, High level architecture (simulation), IBZL, Kayou, Live distributed object, Master/slave (technology), Membase, Message consumer, Message passing, Messaging pattern, Mobile agent, MongoDB, Multi-master replication, Multitier architecture, Network cloaking, Opaak, Open architecture computing environment, Open Computer Forensics Architecture, OrientDB, Overlay network, Paradiseo, Parasitic computing, PlanetSim, Portable object (computing), Redis (data store), Remote Component Environment, Request Based Distributed Computing, RM-ODP, Semantic Web Data Space, Service-oriented distributed applications, Shared memory, Smart variables, Stub (distributed computing), Supercomputer, Terrastore, Transparency (human-computer interaction), TreadMarks, Tuple space, Utility computing, Virtual Machine Interface, Virtual Object System, Volunteer computing...and Much, Much More!
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