Hongzhi Wang
Harbin Institute of Technology , China
Data Quality Management for Big Data
Due to the features, big data have data quality problem higher possibility. For the usability of big data, data quality management is in demand. However, big data quality management brings many technical challenges due to the volume, velocity, variety and value of big data. This talk analyzes these challenges and gives an overview of solutions for data quality management on big data including crowd sourcing-based data quality management, parallel data quality management and dirty data tolerant query processing.
Hongzhi Wang is an associate Professor of Department of Computer Science and Technology, Harbin Institute of Technology. His interested research area includes big data management, data quality, graph data management, web data management. He has published more than 100 papers. He has also been PI of more than 10 projects including three NSFC projects, and co-PI of 973, 863 and NSFC key projects. He was awarded Microsoft fellowship, Chinese Excellent database engineer and IBM PHD fellowship. His PHD thesis was selected as CCF outstanding PHD thesis.