Data warehousing is a software infrastructure which supports OLAP applications by providing a collection of tools which allow data extraction and cleaning, data integration and ag...
: Data warehouse projects, today, are in an ambivalent situation. On the one hand, data warehouses are critical for a company's success and various methodological and technolo...
Web Data Warehouses have been introduced to enable the analysis of integrated Web data. One of the main challenges in these systems is to deal with the volatile and dynamic nature...
The bottleneck of a data warehouse implementation is the ETL (extraction, transformation, and load) process, which carries out the initial population of the data warehouse and its...
For extended enterprises, value-chain integration means that enterprise business systems can no longer be confined to internal processes, applications, and data repositories. What...
Defining data placement and allocation in the disk subsystem can have a significant impact on data warehouse performance. However, our experiences with data warehouse implementatio...
Organizations are adopting datawarehouses to manage information efficiently as "the" main organizational asset. It is essential that we can assure the information qualit...
Coral Calero, Mario Piattini, Carolina Pascual, Ma...
In this experience report we consider some issues in the development of a data warehouse for meteorological and climatology data at MeteoSwiss. The paper describes the meteorologi...
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
: The KVB Data Warehouse enables the Bavarian Association of Statutory Health Insurance (SHI) Physicians to track public health data in a centralised way. In a sophisticated proces...
Katharina Wirtz, Martin Tauscher, Maria Zwerenz, A...