Provides an overview of fundamental issues underlying central aspects of data quality - data consistency, data deduplication, data accuracy, data currency, and

Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large a

In today's uncertain times, risk has become the biggest part of management. Risk management is central to the science of prediction and decision-making; holisti

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions h

Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one