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MapReduce

MapReduce
Overview[edit] MapReduce is a framework for processing parallelizable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local network and use similar hardware) or a grid (if the nodes are shared across geographically and administratively distributed systems, and use more heterogenous hardware). Processing can occur on data stored either in a filesystem (unstructured) or in a database (structured). MapReduce can take advantage of locality of data, processing it on or near the storage assets in order to reduce the distance over which it must be transmitted. "Map" step: Each worker node applies the "map()" function to the local data, and writes the output to a temporary storage. A master node orchestrates that for redundant copies of input data, only one is processed." MapReduce allows for distributed processing of the map and reduction operations. Logical view[edit] Map(k1,v1) → list(k2,v2) Uses[edit]

http://en.wikipedia.org/wiki/MapReduce

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Networks In mathematical terms, a network is a graph in which the nodes and edges have values associated with them. A graph is defined as a pair of sets , where is a set of nodes (vertices or points within the graph) labelled What is MapReduce What is MapReduce? About MapReduce MapReduce is the heart of Hadoop®. NLM APIs An Application Programming Interface (API) is a set of routines that an application uses to request and carry out lower-level services performed by a computer's operating system. For computers running a graphical user interface, an API manages an application's windows, icons, menus, and dialog boxes. We invite you to develop computer and mobile applications using National Library of Medicine (NLM) resources. We request that any application that makes use of NLM data include the following statement: "This product uses publicly available data from the U.S. National Library of Medicine (NLM), National Institutes of Health, Department of Health and Human Services; NLM is not responsible for the product and does not endorse or recommend this or any other product."

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MapReduce Tutorial This section provides a reasonable amount of detail on every user-facing aspect of the MapReduce framework. This should help users implement, configure and tune their jobs in a fine-grained manner. However, please note that the javadoc for each class/interface remains the most comprehensive documentation available; this is only meant to be a tutorial. Let us first take the Mapper and Reducer interfaces. WebSphere Application Server V7 Feature Pack for Service Component Architecture - FAQ What is Service Component Architecture? Service Component Architecture (SCA) was conceived through industry collaboration to provide a language-neutral programming model for building applications based on Service Oriented Architecture. First published in 2005, the Open SOA Collaboration (osoa.org) finalized the SCA 1.0 specification and submitted to OASIS for standardization in March 2007. The SCA programming model benefits architectures where business function is partitioned as a set of services.

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