| 書目名稱 | Fundamentals of Data Warehouses | | 編輯 | Matthias Jarke,Maurizio Lenzerini,Panos Vassiliadi | | 視頻video | http://file.papertrans.cn/351/350243/350243.mp4 | | 概述 | In-depth review of state of the art and practice of data warehouses Includes challenging list of research topics for researchers An excellent introduction to the issues of quality and metadata usage f | | 圖書封面 |  | | 描述 | Data warehouses have captured the attention of practitioners and researchers alike. But the design and optimization of data warehouses remains an art rather than a science. This book presents the first comparative review of the state of the art and best current practice of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, update propagation, metadata management, quality assessment, and design optimization. Also, based on results of the European Data Warehouse Quality project, it offers a conceptual framework by which the architecture and quality of data warehouse efforts can be assessed and improved using enriched metadata management combined with advanced techniques from databases, business modeling, and artificial intelligence. For researchers and database professionals in academia and industry, the book offers an excellent introduction to the issues of quality and metadata usage in the context of data warehouses. | | 出版日期 | Book 20001st edition | | 關(guān)鍵詞 | Data Warehouse; Data integration; Data quality; Data warehouses; Metadata; Online analytic processing; art | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-04138-3 | | isbn_ebook | 978-3-662-04138-3 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-9 07:21
發(fā)表于 2025-3-21 19:02:08
