Język Polski
English
Published
:
2009-02-28
Business Intelligence Technologies
Maciej Zakrzewicz
Abstract
Business Intelligence Systems focus on statistical analysis of historical business data in order to support future business decisions. Their architectures are centered around data warehouses - dedicated, subject-oriented, versioned databases designed to store aggregated historical business data. Users - business analysts -perform complex queries on the data warehouses to find interesting patterns, schemas, correlations, rules. Data warehouse queries are usually time - and resource-consuming. In this paper we give an overview of methods and techniques to improve performance of analytical data processing. We discuss the concepts of data warehouse models, data partitioning, materialized views, bitmap indexes, star transformation. (original abstract)Keywords:
Business intelligence, Data processing, Data warehouse, Computer systemMost read articles by the same author(s)
- Tomasz Cichowicz, Michał Frankiewicz, Filip Rytwiński, Jacek Wasilewski, Maciej Zakrzewicz, Anomaly Detection in Time Series for System Monitoring , Zeszyty Naukowe Wyższej Szkoły Bankowej w Poznaniu: Vol. 40 (2012)
Details
References
Statistics
Authors
Citation rules
Zakrzewicz, M. (2009). Business Intelligence Technologies. Zeszyty Naukowe Wyższej Szkoły Bankowej W Poznaniu, 22(22). Retrieved from https://journals.wsb.poznan.pl/index.php/znwsb/article/view/1693