SparkDQ: Efficient generic big data quality management on distributed data-parallel computation-Reference-Cited by-同舟云学术

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SparkDQ: Efficient generic big data quality management on distributed data-parallel computation

Published:2021-10 Issue: Volume:156 Page:132-147
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Gu Rong,Qi Yang,Wu Tongyu,Wang Zhaokang,Xu Xiaolong,Yuan Chunfeng,Huang Yihua

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference36 articles.

1. Getting Started with Talend Open Studio for Data Integration, Packt;Bowen,2012

2. Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration;Casters,2010

3. Data cleaning: overview and emerging challenges;Chu,2016

4. NADEEF: a commodity data cleaning system;Dallachiesa,2013

5. Data quality: from theory to practice;Fan;ACM SIGMOD Record,2015

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