Data warehousing and on-line analytical processing (OLAP) are essential elements of
decision support, which has increasingly become a focus of the database industry. Many …

A data warehouse is an integrated and timevarying collection of data derived from
operational data and primarily used in strategic decision making by means of online …

The popularity of data warehouses for analysis of data has grown tremendously, but much of
the creation of data warehouses is done manually. We propose and illustrate algorithms for …

Complex query types, huge data volumes, and very high read/update ratios make the
indexing techniques designed and tuned for traditional database systems unsuitable for …

Materialized views (MVs) and indexes both significantly speed query processing in
database systems, but consume disk space and need to be maintained when updates occur …

Views materialization is a powerful technique for optimization of query evaluation. However,
when data sources are updated, these materialized views (MVs) should be maintained in …

Data warehousing applications cope with enormous data sets in the range of Gigabytes and
Terabytes. Queries usually either select a very small set of this data or perform aggregations …

XML data sources are gaining popularity in the context of Business Intelligence and On-Line
Analytical Processing (OLAP) applications, due to the amenities of XML in representing and …

Business Intelligence (BI) can assist in agricultural enterprises to strengthen their production
potential and technical efficiency due to its effective support to the managerial, analytical …

Architekturprinzipien und Datenstrukturen moderner Datenbanksysteme Algorithmen und
optimierte Anfragen für Datenbankoperationen Transaktionsmodelle sowie …