This paper presents work on logical integration of OLAP and XML data sources, carried out in cooperation between TARGIT, a Danish OLAP client vendor, and Aalborg University. A prototype has been developed that allows XML data on the WWW to be used as dimensions and measures in the OLAP system in the same way as ordinary dimensions and measures, providing a powerful and flexible way to handle unexpected or short-term data requirements as well as rapidly changing data. Compared to earlier work, this paper presents several major extensions that resulted from TARGIT's requirements. These include the ability to use XML data as measures, as well as a novel multigranular data model and query language that formalizes and extends the TARGIT data...
On-Line Analytical Processing (OLAP) is a powerful method for analysing large data warehouse data. T...
International audienceThe data warehousing and OLAP technologies are now moving onto handling comple...
In this paper we propose to combine IR and OLAP (On-Line Analytical Processing) technologies to expl...
Motivated by the need for more flexible OLAP systems, this pa-per presents work on logical integrati...
Motivated by the need for more flexible OLAP systems, this paper presents the results of work on log...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
We present the logical “OLAP-XML Federation System” that enables the external data available in XML ...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
In today's OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a c...
In today’s OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a cube ...
In today’s OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a cube ...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast access ...
International audienceThe aim of this article is to present an overview of the major XML warehousing...
*Corresponding authors Abstract: Data warehousing and Online Analytical Processing (OLAP) technologi...
Udgivelsesdato: May 2009On-line analytical processing (OLAP) systems based on a dimensional view of ...
On-Line Analytical Processing (OLAP) is a powerful method for analysing large data warehouse data. T...
International audienceThe data warehousing and OLAP technologies are now moving onto handling comple...
In this paper we propose to combine IR and OLAP (On-Line Analytical Processing) technologies to expl...
Motivated by the need for more flexible OLAP systems, this pa-per presents work on logical integrati...
Motivated by the need for more flexible OLAP systems, this paper presents the results of work on log...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
We present the logical “OLAP-XML Federation System” that enables the external data available in XML ...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and int...
In today's OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a c...
In today’s OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a cube ...
In today’s OLAP systems, integrating fast changing data, e.g., stock quotes, physically into a cube ...
On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast access ...
International audienceThe aim of this article is to present an overview of the major XML warehousing...
*Corresponding authors Abstract: Data warehousing and Online Analytical Processing (OLAP) technologi...
Udgivelsesdato: May 2009On-line analytical processing (OLAP) systems based on a dimensional view of ...
On-Line Analytical Processing (OLAP) is a powerful method for analysing large data warehouse data. T...
International audienceThe data warehousing and OLAP technologies are now moving onto handling comple...
In this paper we propose to combine IR and OLAP (On-Line Analytical Processing) technologies to expl...