<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.</p></abstract>

The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical data processing in data warehouse. The genesis, main definitions, scope of application and real examples from business implementations will be described for each type of analysis. There will be presented copyrighted method of knowledge discovering in databases, together with practical guidelines for its proper and effective use in the enterprise.

Data Analytical Processing in Data Warehouses

Faculty of Management, Warsaw University of Technology, 02-524 Warszawa, Poland

Foundations of Management

{"article-title":"Data Analytical Processing in Data Warehouses"}

The article presents issues connected with processing information from data warehouses (the analytical enterprise databases) and two basic types of analytical...

Data Analytical Processing in Data Warehouses

Online veröffentlicht: 20. März 2012

Seitenbereich: 99 - 116

DOI: https://doi.org/10.2478/v10238-012-0023-x

Schlüsselwörter
data, data warehouse, data management, data analytical processing, OLAP, data mining

This content is open access.

Data Analytical Processing in Data Warehouses

Online veröffentlicht: 20. März 2012

Seitenbereich: 99 - 116

DOI: https://doi.org/10.2478/v10238-012-0023-x

Schlüsselwörterdata, data warehouse, data management, data analytical processing, OLAP, data mining

This content is open access.

Schlüsselwörter
data, data warehouse, data management, data analytical processing, OLAP, data mining