Add to ORKGOn the subject of data warehousing, a lot of material is available on what needs to bedone to maintain a presentation area, but very little on how to do it. This paperpresents a structure and process for automatically maintaining and updating amultidimensional presentation area from a fully normalized data staging area. Thepaper also discusses a theoretical algorithm for finding the best division of slowlychanging dimension attributes into several groups based on how they changetogether
Abstract. Multi-dimensional analysis is one of the most important ap-plications of data warehouses, ...
In the big data era, data become more important for Business Intelligence and Enterprise Data Analyt...
Projecfing multidimensional data to a lower-dimensional visual displayas a scatter-plot-llke visuali...
On the subject of data warehousing, a lot of material is available on what needs to bedone to mainta...
Data warehouses are designed to store data in a consistent and integrated way, being refreshed perio...
In real-world applications, data warehouses usually incorporate some dimension tables in their schem...
Abstract — In real-world applications, data warehouses usually incorporate some dimension tables in ...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
Data Warehouses are refreshed periodically with data from source systems. Nevertheless this data is ...
Dimensions are defined as dynamic or slowly changing if the attributes or relationships of a dimensi...
Data warehouses are often very large, with new data being appended regularly. The sheer size and com...
Projecting multi-dimensional data to a lower-dimensional visual display is a commonly used approach ...
Abstract: The volume of Big data is increasing in gigabytes day by day which are hard to make sense ...
Projecting multi-dimensional data to a lower-dimensional visual display is a commonly used approach ...
In the big data era,data become more important for Business Intelligence and Enterprise Data Analyti...
Abstract. Multi-dimensional analysis is one of the most important ap-plications of data warehouses, ...
In the big data era, data become more important for Business Intelligence and Enterprise Data Analyt...
Projecfing multidimensional data to a lower-dimensional visual displayas a scatter-plot-llke visuali...
On the subject of data warehousing, a lot of material is available on what needs to bedone to mainta...
Data warehouses are designed to store data in a consistent and integrated way, being refreshed perio...
In real-world applications, data warehouses usually incorporate some dimension tables in their schem...
Abstract — In real-world applications, data warehouses usually incorporate some dimension tables in ...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
Data Warehouses are refreshed periodically with data from source systems. Nevertheless this data is ...
Dimensions are defined as dynamic or slowly changing if the attributes or relationships of a dimensi...
Data warehouses are often very large, with new data being appended regularly. The sheer size and com...
Projecting multi-dimensional data to a lower-dimensional visual display is a commonly used approach ...
Abstract: The volume of Big data is increasing in gigabytes day by day which are hard to make sense ...
Projecting multi-dimensional data to a lower-dimensional visual display is a commonly used approach ...
In the big data era,data become more important for Business Intelligence and Enterprise Data Analyti...
Abstract. Multi-dimensional analysis is one of the most important ap-plications of data warehouses, ...
In the big data era, data become more important for Business Intelligence and Enterprise Data Analyt...
Projecfing multidimensional data to a lower-dimensional visual displayas a scatter-plot-llke visuali...