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Fundamentals of Data Warehouses
Matthias Jarke
Maurizio Lenzerini
Yannis Vassiliou
Panos Vassiliadis
出版
Springer Science & Business Media
, 2013-03-09
主題
Computers / Database Administration & Management
Computers / System Administration / Storage & Retrieval
Computers / Information Technology
Computers / Artificial Intelligence / General
Business & Economics / Operations Research
ISBN
3662051532
9783662051535
URL
http://books.google.com.hk/books?id=w9-9BwAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.