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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...

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

(Beta Version) This is sister project for https://sourceforge.net/projects/dataquality/ . It provides Restful APIs for features for data quality and data preparation features. This project will help projects which want embed data quality and data preparation features in their project or UI using restful calls. Data Cleansing APIs Dockerfile: # Pull base image FROM frnde/jetty-9.4.2-jre8-alpine-cet ADD osdq-v0.0.1.war /var/lib/jetty/webapps/osdq.war EXPOSE 8080 Docker...

Arthropod Easy Capture (AEC) is an arthropod specific, open-source solution for handling specimen level host interactions. Developed in conjunction with the Plant Bugs Planetary Biodiversity, Tri-Tropic Interactions TCN, and Bee Database projects, AEC is designed for rapid, and accurate data capture, utilizing controlled vocabularies to maintain data quality. The application is Web-based, allowing for collaboration from multiple partners to a centralized, easily maintainable,...

ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *...

Web-GUI for a benchmarking database which is based on the EFQM Framework for Corporate Data Quality Management.

A simple little engine to do fuzzy name & address searching. Helps improve data quality and avoids duplicate data entry.