TY - BOOK ID - 837433 TI - Fundamentals of data warehouses PY - 2000 SN - 3540653651 3662041405 3662041383 9783540653653 PB - Berlin: Springer, DB - UniCat KW - Information systems KW - Business policy KW - Data warehousing. KW - Entrepôts de données (Informatique) KW - Data warehousing KW - Entrepôts de données (Informatique) KW - Database management. KW - Information storage and retrieval. KW - Application software. KW - Artificial intelligence. KW - Operations research. KW - Decision making. KW - Database Management. KW - Information Storage and Retrieval. KW - Information Systems Applications (incl. Internet). KW - Artificial Intelligence. KW - Operations Research/Decision Theory. KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:837433 AB - 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. ER -