Mobility Data Warehouses

Data Quality in Data Warehouses

Fayyad and Uthursamy (2002) have stated that the majority of the work (representing months or years) in creating a data warehouse is in cleaning up duplicates and resolving other anomalies. This article provides an overview of two methods for improving quality. The first is data cleaning for finding duplicates within files or across files. The second is edit/imputation for maintaining business ...

Benchmarking data warehouses

Data warehouse architectural choices and optimization techniques are critical to decision support query performance. To facilitate these choices, the performance of the designed data warehouse must be assessed, usually with benchmarks. These tools can either help system users comparing the performances of different systems, or help system engineers testing the effect of various design choices. ...

D Data Warehouses

Data warehouses (DW) appeared first in industry in the mid 1980s. When their impact on businesses and database practices became clear, a flurry or research took place in academia in the late 1980s and 1990s. However, the concept of DW still remains rooted on its practical origins. This entry describes the basic concepts behind a DW while keeping the discussion at an intuitive level. The entry i...

Benchmarking XML data warehouses

With the emergence of XML as a new standard for representing business data, new decision-support applications (namely, XML data warehouses) are being developed. To ensure their feasibility, the issue of performance must be addressed. Performance in general, and the efficiency of performance optimization techniques in particular, is usually assessed with the help of benchmarks. However, there ar...

Deductive Data Warehouses