| 书目名称 | Handbook of Data Quality | | 副标题 | Research and Practic | | 编辑 | Shazia Sadiq | | 视频video | | | 概述 | Presents a comprehensive framework based on organizational, architectural, and computational techniques and solutions.Includes a separate section devoted to successful data quality approaches in indus | | 图书封面 |  | | 描述 | .The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results..With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects..Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for | | 出版日期 | Book 2013 | | 关键词 | data governance; data integration; data provenance; data quality; data warehouses; database management; du | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-36257-6 | | isbn_softcover | 978-3-642-44184-4 | | isbn_ebook | 978-3-642-36257-6 | | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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发表于 2025-3-21 16:14:58
