Best Open Source Java Data Quality Tools for Mac

Java Data Quality Tools for Mac

Data Quality Java Mac Data Profiling Clear Filters

Browse free open source Java Data Quality Tools for Mac and projects below. Use the toggles on the left to filter open source Java Data Quality Tools for Mac by OS, license, language, programming language, and project status.

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1

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

3 Reviews

Downloads: 16 This Week

Last Update: 2019-02-12
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2

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 Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. 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/

8 Reviews

Downloads: 3 This Week

Last Update: 2021-01-20
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3

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 .\lib\*;osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c .\example\samplerun.json Mac UNIX java -cp ./lib/*:./osdq-spark-0.0.1.jar org.arrah.framework.spark.run.TransformRunner -c ./example/samplerun.json For those on windows, you need to have hadoop distribtion unzipped on local drive and HADOOP_HOME set. Also copy winutils.exe from here into HADOOP_HOME\bin

Downloads: 2 This Week

Last Update: 2019-01-20
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4

sapiente

A Data profiling project

Downloads: 0 This Week

Last Update: 2014-09-01
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