Within recent years, data warehouses have faced a tremendous shift from simple
centralized repositories used to store cash-register transactions to a platform for data
integration, federation, and sophisticated data analysis. Nowadays, data warehousing
technologies are successfully used in many industries including retail, manufacturing,
financial services, banking, telecommunication, healthcare, and so forth.
Data warehousing technology is currently a very active field of research. Research
problems associated with creating, maintaining, and using data warehouse technology
are partially similar to those specific for database systems. In fact, a data warehouse
can be considered as ???large??? database system with additional functionality. However,
the well-known problems of index selection, data partitioning, materialized view
maintenance, data integration, query optimization, have received renewed attention
in warehousing research. Some research problems are specific to data warehousing:
data acquisition and data cleaning, data warehouse refreshment, evolution of data
warehouse schema, multidimensional and parallel query optimization, conceptual
modeling for the data warehouses, data quality management, and so forth. This
book addresses all the above mentioned issues in the area of data warehousing from
multiple perspectives, in the form of individual contributions written by prominent
data warehouse technology researchers, and it also outlines new trends and future
challenges in the context of next generation data warehouse systems.
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