Big Data Cleaning

组织发现，由于数据质量差，从其数据中获取价值变得越来越困难。数据质量差是基于数据进行有效和高质量决策的障碍。完整性约束(业务规则)是用于维护数据完整性的基本工具。它们指定了应该控制数据的域语义。声明性数据清理已成为评估和提高数据质量的有效工具。

Organizations are finding it increasingly difficult to reap value from their data due to poor data quality. Poor data quality is a barrier to effective and high quality decision-making based on data. Integrity constraints (business rules) are the fundamental tools used to preserve data integrity. They specify the domain semantics that should hold over the data. Declarative data cleaning has emerged as an effective tool for both assessing and improving the quality of data.