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  2. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  3. File:Mapreduce Overview.svg - Wikipedia

    en.wikipedia.org/wiki/File:Mapreduce_Overview.svg

    Download as PDF; Printable version ... This SVG is intended to give the reader of the Mapreduce article a basic overview of the data flow in a Mapreduce framework ...

  4. Fold (higher-order function) - Wikipedia

    en.wikipedia.org/wiki/Fold_(higher-order_function)

    Richard Bird in his 2010 book proposes [2] "a general fold function on non-empty lists" foldrn which transforms its last element, by applying an additional argument function to it, into a value of the result type before starting the folding itself, and is thus able to use type-asymmetrical binary operation like the regular foldr to produce a ...

  5. Reduction operator - Wikipedia

    en.wikipedia.org/wiki/Reduction_Operator

    [2] [3] [4] The reduction of sets of elements is an integral part of programming models such as Map Reduce, where a reduction operator is applied to all elements before they are reduced. Other parallel algorithms use reduction operators as primary operations to solve more complex problems. Many reduction operators can be used for broadcasting ...

  6. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    The job tracker schedules map or reduce jobs to task trackers with an awareness of the data location. For example: if node A contains data (a, b, c) and node X contains data (x, y, z), the job tracker schedules node A to perform map or reduce tasks on (a, b, c) and node X would be scheduled to perform map or reduce tasks on (x, y, z).

  7. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    The MapReduce concept provides a parallel processing model, and an associated implementation was released to process huge amounts of data. With MapReduce, queries are split and distributed across parallel nodes and processed in parallel (the "map" step). The results are then gathered and delivered (the "reduce" step).

  8. Monoid - Wikipedia

    en.wikipedia.org/wiki/Monoid

    For all a, b and c in S, the equation (a • b) • c = a • (b • c) holds. Identity element There exists an element e in S such that for every element a in S, the equalities e • a = a and a • e = a hold. In other words, a monoid is a semigroup with an identity element. It can also be thought of as a magma with associativity and identity ...

  9. Jeff Dean - Wikipedia

    en.wikipedia.org/wiki/Jeff_Dean

    MapReduce: Simplified Data Processing on Large Clusters. OSDI'04: Sixth Symposium on Operating System Design and Implementation (December 2004) Fay Chang, Jeff Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Mike Burrows, Tushar Chandra, Andrew Fikes, and Robert E. Gruber. 2006. Bigtable: A Distributed Storage System for Structured ...