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  2. RCFile - Wikipedia

    en.wikipedia.org/wiki/RCFile

    RCFile has been adopted in real-world systems for big data analytics. RCFile became the default data placement structure in Facebook's production Hadoop cluster. [ 2 ] By 2010 it was the world's largest Hadoop cluster, [ 3 ] where 40 terabytes compressed data sets are added every day. [ 4 ]

  3. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    ORC: columnar file format for big data workloads; Ozone: scalable, redundant, and distributed object store for Hadoop; Parquet: a general-purpose columnar storage format; PDFBox: Java based PDF library (reading, text extraction, manipulation, viewer) Mod_perl: module that integrates the Perl interpreter into Apache server

  4. Programming with Big Data in R - Wikipedia

    en.wikipedia.org/wiki/Programming_with_Big_Data_in_R

    Programming with Big Data in R (pbdR) [1] is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation. [ 2 ] [ 3 ] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical ...

  5. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    software.intel.com /content /www /us /en /develop /tools /data-analytics-acceleration-library.html oneAPI Data Analytics Library (oneDAL; formerly Intel Data Analytics Acceleration Library or Intel DAAL), is a library of optimized algorithmic building blocks for data analysis stages most commonly associated with solving Big Data problems.

  6. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME workflows can be used as data sets to create report templates that can be exported to document formats such as doc, ppt, xls, pdf and others. Other capabilities of KNIME are: KNIMEs core-architecture allows processing of large data volumes that are only limited by the available hard disk space (not limited to the available RAM). E.g.

  7. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [ 225 ] Big data is a buzzword and a "vague term", [ 226 ] [ 227 ] but at the same time an "obsession" [ 227 ] with entrepreneurs, consultants, scientists, and the media.

  8. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software

  9. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance . Originally developed at the University of California, Berkeley 's AMPLab , the Spark codebase was later donated to the Apache Software Foundation ...