Data Warehousing

Data Integration in Data Warehousing

Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data int...

Physical Data Warehousing Design

Recently, organizations have increasingly emphasized applications in which current and historical data are analyzed and explored comprehensively, identifying useful trends and creating summaries of the data in order to support high-level decision making. Every organization keeps accumulating data from different functional units, so that they can be analyzed (after integration), and important de...

Data warehousing with Oracle

With the emergence of data warehousing, Decision Support Systems have evolved to its best. At the core of these warehousing systems lies a good database management system. Database server, used for data warehousing, is responsible to provide robust data management, scalability, high performance query processing and integration with other servers. Oracle being the initiator in warehousing server...

Qualitätsanalyse im Data Warehousing

Der Idee des Data Warehousing liegt zugrunde, dass transaktionsorientierte Systeme (OLTP) und Analysesysteme (OLAP) zwar auf den gleichen Unternehmensdaten operieren, sie jedoch fundamental verschiedene Anforderungen an die Zugreifbarkeit dieser Daten haben. Transaktionen im OLTP-Bereich ändern nur wenige Daten und müssen mit hohem Durchsatz ausgeführt werden. OLAP-Analysen hingegen greifen auf...

Data Warehousing Failures