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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.
The Beamer class is not the first LaTeX class for creating presentations, and like many of its predecessors (such as slides, seminar, prosper, powerdot), [2] it has special syntax for defining "slides" (known in Beamer as "frames"). Slides can be built up on-screen in stages as if by revealing text that was previously hidden or covered.
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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 Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2]
A presentation program analogous to Microsoft PowerPoint and Apple Keynote. Can export presentations to Adobe Flash (SWF) files, allowing them to be played on any computer with a Flash player installed. Draw: A vector graphics editor comparable in features to the drawing functions in Microsoft Office. Math
The Message Passing Interface (MPI) is a portable message-passing standard designed to function on parallel computing architectures. [1] The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++, and Fortran.
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