Matthias Jarke; John Mylopoulos; Christoph Quix; Colette Rolland; Yannis Manolopoulos; Haralambos Mouratidis; Jen Horkoff Springer International Publishing AG (2014) Pehmeäkantinen kirja
Christian S. Jensen; Keith G. Jeffery; Jaroslav Pokorny; Simonas Saltenis; Elisa Bertino; Klemens Böhm; Matthias Jarke Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2002) Pehmeäkantinen kirja
Christian Brecher (ed.); Günther Schuh (ed.); Wil van der Aalst (ed.); Matthias Jarke (ed.); Frank T. Piller (ed.); Padberg Springer (2023) Kovakantinen kirja
Christian Brecher (ed.); Günther Schuh (ed.); Wil van der Aalst (ed.); Matthias Jarke (ed.); Frank T. Piller (ed.); Padberg Springer (2023) Pehmeäkantinen kirja
Karl-Werner Hansmann; Achim Bachem; Matthias Jarke; Wolfgang E. Katzenberger; Alfred Marusev Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (1993) Pehmeäkantinen kirja
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.
