engl. Modulbezeichnung: Introduction to Data Warehousing ggf. Modulniveau: Kürzel: 102808 ggf. Untertitel: DWT ggf. Lehrveranstaltungen: Studiensemester: Modulverantwortliche(r): Professur für Praktische Informatik / Datenbanken und Informationssysteme Dozent(in): Dr. Veit Köppen Sprache: Zuordnung zum Curriculum: Lehrform / SWS: Vorlesungen, Übungen und praktische Übungen im Labor (einschließl...

UNLABELLED The Linnaeus Centre for Bioinformatics Data Warehouse (LCB-DWH) is a web-based infrastructure for reliable and secure microarray gene expression data management and analysis that provides an online service for the scientific community. The LCB-DWH is an effort towards a complete system for storage (using the BASE system), analysis and publication of microarray data. Important feature...

− Previous research has provided metadata models that enable the capturing of the static components of a data warehouse architecture, along with information on different quality factors over these components. This paper complements this work with the modeling of the dynamic parts of the data warehouse. The proposed metamodel of data warehouse operational processes is capable of modeling complex...

Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by several data mining techniques to discover interesting patterns. However, before data mining techniques can be applied to data warehouses, arduous and convoluted preprocessing techniques must be completed. Thus, we pr...

Creating the Data Warehouse Data Model Moral: A good data warehouse model is a synthesis of diverse non-traditional factors. A data warehouse model must be comprehensive, current and dynamic, and provide a complete picture of the physical reality of the warehouse as it evolves. The data warehouse database schema should be generated and maintained directly from the model. The model not just a de...

In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.

In the recent years, it has been observed that World Wide Web (www) became a vast source of information explosion about all areas of interest. Relevant information retrieval is difficult from the web space as there is no universal configuration and organization of the web data. Taking the advantage of data warehouse functionality and integrating it with the web to retrieve relevant data is the ...

This paper develops a controlling instrument for data warehouse systems based on the Balanced Scorecard BSC approach. On the basis of the technological aspects of data warehouse systems, the BSC perspectives are developed and populated with relevant objectives and measures for data warehouse success. These perspectives are integrated into a consistent data warehouse scorecard. Finally, this ins...

diseases management offers the benefits of lower disease occurrence, improved patient care, and lower healthcare costs. the key mechanism used to identify individuals at risk, stratify patients by risk level and track patients’ progress through the disease management is the data warehouse (dw). this review article describes operational systems, dw features and component and role of it in diseas...

several techniques exist to select and materialize a proper set of data in a suitable structure that manage the queries submitted to the online analytical processing systems. these techniques are called view management techniques, which consist of three research areas: 1) view selection to materialize, 2) query processing and rewriting using the materialized views, and 3) maintaining materializ...