2 citations · 2 across the 3 of their papers we have counts for
3 papers
Unfolding Data Quality Dimensions in Practice: A Survey
Vasileios Papastergios, Lisa Ehrlinger, Anastasios Gounaris
Data quality describes the degree to which data meet specific requirements and are fit for use by humans and/or downstream tasks (e.g., artificial intelligence). Data quality can b…
Stream DaQ: Stream-First Data Quality Monitoring
Vasileios Papastergios, Anastasios Gounaris
Data quality is fundamental to modern data science workflows, where data continuously flows as unbounded streams feeding critical downstream tasks, from elementary analytics to adv…
A survey of open-source data quality tools: shedding light on the materialization of data quality dimensions in practice
Vasileios Papastergios, Anastasios Gounaris
Data Quality (DQ) describes the degree to which data characteristics meet requirements and are fit for use by humans and/or systems. There are several aspects in which DQ can be me…