Showing 3 open source projects for "big file split java"

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    Open Source Data Quality and Profiling

    Open Source Data Quality and Profiling

    World's first open source data quality & data preparation project

    This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data...
    Downloads: 2 This Week
    Last Update:
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  • 2
    CSV Transformer

    CSV Transformer

    transforms xml to csv

    The CSV Transformer is a data processing tool which transforms .xml-Files to comma separated values. The CSV Transformer was created in a load and performance testing project, the use case was to be able to transform 2800 configuration files of a big banking application to a single .csv-File. With this single file it was possible to compare the whole configuration between two releases with the already available tool CSV Comparator. This enabled the team to verify if there were any...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Universal Java Matrix Package

    Universal Java Matrix Package

    sparse and dense matrix, linear algebra, visualization, big data

    The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large...
    Downloads: 51 This Week
    Last Update:
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