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

标题
SparkDQ: Efficient generic big data quality management on distributed data-parallel computation
作者
关键词
Parallel data quality algorithms, Distributed system, Data quality management system, Multi-tasks scheduling, Big data
出版物
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
Volume 156, Issue -, Pages 132-147
出版商
Elsevier BV
发表日期
2021-06-05
DOI
10.1016/j.jpdc.2021.05.012

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now