Effective and Efficient Data Quality Management for Data Lakes

有效且高效的数据湖数据质量管理

• 批准号: DP210103593
• 负责人: Prof Wei Wang
• 金额: $ 2.44万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2021-06-18
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP210103593
• 关键词: Effective; Efficient; Data; Quality; Management

This project aims to enhance the quality and completeness for data in data lakes by innovative and judicious use of Database and Artificial Intelligence techniques. To achieve the aim, we will develop knowledge-enhanced error correction during data ingestion, flexible and efficient data exploration, and heterogeneity-tolerant scalable data integration solutions. Its significance lies in integrating techniques from both database and artificial intelligence areas to deliver effective solutions for challenging problems in data lakes. The outcome of this project will provide new knowledge in this cutting-edge domain, and provide additional value and immediate benefits to all applications built upon data lakes.

该项目旨在通过创新和明智地使用数据库和人工智能技术来提高数据湖中数据的质量和完整性。为了实现这一目标，我们将开发数据摄取过程中的知识增强型纠错、灵活高效的数据探索以及可容忍异构性的可扩展数据集成解决方案。它的意义在于整合了数据库和人工智能领域的技术，为数据湖中具有挑战性的问题提供了有效的解决方案。该项目的成果将提供这一前沿领域的新知识，并为所有基于数据湖的应用程序提供额外的价值和直接的好处。