Multidimensional modeling is the foundation of data warehouses, MD databases, and On-Line Analytical Processing (OLAP) applications. Nowadays Dimensional modeling and object-orientation are becoming growing interest areas. In the past few years; there have been many proposals, for representing the MD ...
Multidimensionel dataanalyse er også mulig, hvis der anvendes en relationel database. Derved ville det kræve at forespørge data fra flere tabeller. Tværtimod har MOLAP alle mulige kombinationer af data, der allerede er lagret i et multidimensionelt array. MOLAP kan få direkte ...
Note:You can find more information about multilanguage processing for the multidimensional warehouse in your EPM Warehouse specific documentation (for example, thePeopleSoft EPM: Campus Solutions Warehouse). Shared Dimensions Dimensions such as Account, Customer, Department, or Person are examples of shar...
Benchmarking is among the most widely adopted practices in business to- day. However, to the best of our knowledge, conducting multidimensional benchmarking in data warehouses has not been explored from a technical efficiency perspective. In this paper, we formulate benchmark queries in the context...
Data model is a basic aspect in the research field of data warehouses. It has been argued that traditional data models, such as the ER model and the relational model, are in principle not powerful enough for modeling the data structure and semantics of d
Data summarization is an important data analysis task in data warehousing and online analytic processing. In this paper, we consider a novel type of summarization queries, probable group queries, such as "What are the groups of patients that have a50% or more opportunity to get lung cancer tha...
This paper presents the empirical validation of the metrics for multidimensional models for data warehouses at conceptual level. Quality attributes namely, understandability and efficiency are evaluated through various combinations of metrics. Multiple linear regression analysis has been used in this paper ...
In theColumnssub-tab, add a new row for the new attribute. Input the appropriate values for the derivation, data type, data size, and other applicable properties of the new attribute. Repeat steps two through four for theIPC stagebut provide information for theInpu...
the fact that (1) experiences in the field of databases have proved that conceptual modelling is crucial for the design, evolution, and optimisation of a database, (2) a great va- riety of data warehouse system are on the market, most ...
This type of database is usually structured in an order that optimizes OLAP and data warehouse applications. Advertisements Related Terms Online Analytical Processing Data Data Warehouse (DW) Data Warehouse Appliance Data Storage MultiValue Database...