Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
Research on the production and utilization of statistical data based on convergence data to cope with the 4th industrial revolution
- Guide To Data Quality Management & Metrics for Effective Data Control
- Data Collection and Analysis Methods in Impact Evaluation
- Research on the production method of statistics through linkage and fusion between data
The ability aims to study new infrastructures and methodologies for big data research in order to greatly facilitate the tools and techniques for acquiring knowledge and insights from big data, while improving the ability to use big data for scientific discovery.