Showing 4 open source projects for "https"

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    Pentaho

    Pentaho

    Pentaho offers comprehensive data integration and analytics platform.

    ...Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial can be obtained from https://pentaho.com/download/
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    Downloads: 957 This Week
    Last Update:
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  • 2
    AvaSattva

    AvaSattva

    Search replace files or pipe

    See https://github.com/qualiu/msr/ Match/Search/Replace: msr.exe/msr-Win32.exe/msr.cygwin/msr.gcc**/msr-i386.gcc** Match/Search/Replace/Execute/* Files/Pipe Lines/Blocks. Filter/Load/Extract/Transform/Stats/* Files/Pipe Lines/Blocks. Not-IN-latter: nin.exe/nin-Win32.exe/nin.cygwin/nin.gcc**/nin-i386.gcc** Get Exclusive/Mutual Line-Set or Key-Set; Remove Line-Set or Key-Set matched in latter file/pipe; Get Unique/Mutual/Distribution/Stats/* Files/Pipe Line-Set or Key-Set. ...
    Downloads: 0 This Week
    Last Update:
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  • 3

    GETL

    ETL engine based on Groovy

    P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with Java classes. ...
    Downloads: 0 This Week
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  • 4
    apache spark data pipeline osDQ

    apache spark data pipeline osDQ

    osDQ dedicated to create apache spark based data pipeline using JSON

    This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also.
    Downloads: 0 This Week
    Last Update:
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