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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 ...
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
However map-reduce has been an integral part of functional programming and enabler of parallelism decades before. Concatenating the words Map and Reduce does not sufficiently identify this as a Google specific technology when users are sent to this page searching for general information on map-reduce and parallelism.
SOAP v2 [1] extended and improved on SOAP v1 by significantly improving the performance of the SOAPaligner tool. Alignment time was reduced by a factor of 20-30, while memory usage was reduced by a factor of 3. Support was added for compressed file formats.
Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.
In December 2004, Google Research published a paper on the MapReduce algorithm, which allows very large-scale computations to be trivially parallelized across large clusters of servers. Cutting and Mike Cafarella, realizing the importance of this paper to extending Lucene into the realm of extremely large search problems, created the open ...
[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 ...
ReactiveX (Rx, also known as Reactive Extensions) is a software library originally created by Microsoft that allows imperative programming languages to operate on sequences of data regardless of whether the data is synchronous or asynchronous.