enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  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. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    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.

  4. Parallelization contract - Wikipedia

    en.wikipedia.org/wiki/Parallelization_contract

    Similar to MapReduce, arbitrary user code is handed and executed by PACTs. However, PACT generalizes a couple of MapReduce's concepts: Second-order Functions: PACT provides more second-order functions. Currently, five second-order functions called Input Contracts are supported. This set might be extended in the future.

  5. Sanjay Ghemawat - Wikipedia

    en.wikipedia.org/wiki/Sanjay_Ghemawat

    MapReduce, a system for large-scale data processing applications. Google File System, is a proprietary distributed file system developed to provide efficient, reliable access to data using large clusters of commodity hardware. Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database.

  6. Cascading (software) - Wikipedia

    en.wikipedia.org/wiki/Cascading_(software)

    Cascading is a software abstraction layer for Apache Hadoop and Apache Flink.Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language (Java, JRuby, Clojure, etc.), hiding the underlying complexity of MapReduce jobs.

  7. Doug Cutting - Wikipedia

    en.wikipedia.org/wiki/Doug_Cutting

    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 ...

  8. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    Doing Hadoop MapReduce on the Wikipedia current database dump You can do Hadoop MapReduce queries on the current database dump, but you will need an extension to the InputRecordFormat to have each <page> </page> be a single mapper input.

  9. Apache Mahout - Wikipedia

    en.wikipedia.org/wiki/Apache_Mahout

    Apache Mahout's code abstracts the domain specific language from the engine where the code is run. While active development is done with the Apache Spark engine, users are free to implement any engine they choose- H2O and Apache Flink have been implemented in the past and examples exist in the code base.