In the last few years, numerous proposals for modelling and querying Multidimensional Databases (MDDB) are proposed. A rigorous classification of the different types of hierarchies is still an open problem. In this paper we propose and discuss some different types of hierarchies within a single dimension of a cube. These hierarchies divide in different levels of aggregation a single dimension. Depending on them, we discuss the characterization of some OLAP operators that refer to hierarchies in order to maintain the data cube consistency. Moreover, we propose a set of operators for changing the hierarchy structure. The issues discussed provide modelling flexibility during the scheme design phase and correct data analysis. 1
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
International audienceMost models proposed for modeling multidimensional data warehouses consider a ...
OLAP queries involve a lot of aggregations on a large amount of data in data warehouses. To process ...
Recently numerous proposals for modelling and querying Multidimensional Databases (MDDB) are propose...
Online Analytical Processing (OLAP) is a database paradigm that supports the rich analysis of multi-...
Schema design is one of the fundamentals in database theory and practice as well. In this paper, we ...
Most models proposed for modeling multidimensional data warehouses consider a same function to deter...
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On...
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On...
The data cube operator exemplifies two of the most important as-pects of OLAP queries: aggregation a...
This paper deals with the problem of physical clustering of multidimensional data that are organized...
Most models proposed for modeling multidimensional data warehouses consider a same function to deter...
Abstract. Comprehensive data analysis has become indispensable in a variety of environments. Standar...
Field of Invention: The present invention relates to computer databases, in particular to a method a...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
International audienceMost models proposed for modeling multidimensional data warehouses consider a ...
OLAP queries involve a lot of aggregations on a large amount of data in data warehouses. To process ...
Recently numerous proposals for modelling and querying Multidimensional Databases (MDDB) are propose...
Online Analytical Processing (OLAP) is a database paradigm that supports the rich analysis of multi-...
Schema design is one of the fundamentals in database theory and practice as well. In this paper, we ...
Most models proposed for modeling multidimensional data warehouses consider a same function to deter...
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On...
Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (On...
The data cube operator exemplifies two of the most important as-pects of OLAP queries: aggregation a...
This paper deals with the problem of physical clustering of multidimensional data that are organized...
Most models proposed for modeling multidimensional data warehouses consider a same function to deter...
Abstract. Comprehensive data analysis has become indispensable in a variety of environments. Standar...
Field of Invention: The present invention relates to computer databases, in particular to a method a...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
International audienceMost models proposed for modeling multidimensional data warehouses consider a ...
OLAP queries involve a lot of aggregations on a large amount of data in data warehouses. To process ...