Abstract- In one of our previous papers, the idea of deduc-tive data warehouses has been introduced. It was shown how to use Datalog rules to perform Online Analytical Processing (OLAP) analysis on data. In this paper, we show how to use Datalog rules to specify the data warehouse model (data mart) as well as how to add rules that produce aggregate and derived tables that are normally used to speed up the process of retrieving data. Since it is good to have aggregate and derived tables (to speed up queries), the main drawback is that they require extra storage. Consequently implicit defini-tion of such tables may seem interesting
Materialized summary tables and cached query results are frequently used for the optimization of agg...
Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support...
International audienceResearch in data warehousing and OLAP has produced important technologies for ...
A data warehouse is a redundant collection of data replicated from several possibly distributed and ...
Data warehouses have demonstrated their applicability in numerous application fields such as agricul...
Data-driven decision support systems, such as data warehouses can serve the requirement of extractio...
Abstract: On-line analytical processing (OLAP) systems deal with analytical tasks in businesses. As ...
Design and implementation of data warehouses remain delicate tasks which are led by experts. Neverth...
Data warehousing is a repository of information collected from multiple data sources, stored under a...
Today in organizations, the developments in the transaction processing technology requires that, amo...
Paper Number 222 Data warehouses contain large amounts of information, often collected from a variet...
Data warehouses must have efficient Online Analysis Processing (OLAP) that provides tools to satisfy...
Data warehouses are often very large, with new data being appended regularly. The sheer size and com...
. In the recent years, the database community has witnessed the emergence of a new technology, namel...
The notion of a deductive database has emerged during the 1970s in order to describe database system...
Materialized summary tables and cached query results are frequently used for the optimization of agg...
Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support...
International audienceResearch in data warehousing and OLAP has produced important technologies for ...
A data warehouse is a redundant collection of data replicated from several possibly distributed and ...
Data warehouses have demonstrated their applicability in numerous application fields such as agricul...
Data-driven decision support systems, such as data warehouses can serve the requirement of extractio...
Abstract: On-line analytical processing (OLAP) systems deal with analytical tasks in businesses. As ...
Design and implementation of data warehouses remain delicate tasks which are led by experts. Neverth...
Data warehousing is a repository of information collected from multiple data sources, stored under a...
Today in organizations, the developments in the transaction processing technology requires that, amo...
Paper Number 222 Data warehouses contain large amounts of information, often collected from a variet...
Data warehouses must have efficient Online Analysis Processing (OLAP) that provides tools to satisfy...
Data warehouses are often very large, with new data being appended regularly. The sheer size and com...
. In the recent years, the database community has witnessed the emergence of a new technology, namel...
The notion of a deductive database has emerged during the 1970s in order to describe database system...
Materialized summary tables and cached query results are frequently used for the optimization of agg...
Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support...
International audienceResearch in data warehousing and OLAP has produced important technologies for ...