Showing 5 open source projects for "qt-based"

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  • 1
    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 also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/
    Downloads: 5 This Week
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  • 2
    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. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp ....
    Downloads: 1 This Week
    Last Update:
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  • 3
    DataCleaner

    DataCleaner

    Data quality analysis, profiling, cleansing, duplicate detection +more

    DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io
    Downloads: 6 This Week
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  • 4
    A Data profiling project
    Downloads: 0 This Week
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  • 5
    AMB Data Profiling Data Quality
    AMB New Generation Data Empowerment - offers a comprehensive approach to data governance needs with ground breaking features to locate, identify, discover, manage and protect your overall data infrastructure. Repeatable Process/Exposed Repository.
    Downloads: 0 This Week
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