data warehousessecure multidimensional modelingaccess controlauditUMLDue to the sensitive data contained in Data Warehouses (DW), it is essential to specify security measures from the early stages of the DW des
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 ...
Costs derive mostly from the amount of time invested in the design and physical implementation of these large projects, time that we consider, may be decreased through the automation of several processes. Thus, we present a framework for semi-automated implementation of multidimensional data models ...
Therefore, you must ensure that the processing query that populates the temporary partition does not duplicate any data already present in an existing partition. See Also Configure Measure Properties Cubes in Multidimensional ModelsFeedback Was this page helpful? Yes No Additional resources Events ...
Enter data directly into Power BI Desktop Connect to webpages Python R Connect to Snowflake in the Power BI service Connect to SSAS multidimensional models Connect to Analysis Services tabular data Connect to data sources with DirectQuery Connect to SAP Business Warehouse with DirectQuery Connect to ...
Chapter 11, Monitoring Cube Performance and Usage, discusses how we can monitor query performance, processing performance, and usage once the cube has gone into production. Appendix, DAX Query Support, discusses support for DAX queries and Power View against Multidimensional Models.目录...
More precisely, a number of different formal multidimensional data models have been proposed... © 2016 Springer Science+Business Media LLC Cite this entry Pedersen, T.B. (2016). Multidimensional Modeling. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York...
models. Tabular models at the 1400 and higher compatibility levels offer a significant increase in the variety of data sources from which you can import from. This is due to the introduction of the modern Get Data data query and import features in Visual Studio utilizing the M formula query ...
PREDICTING THE QUALITY OF OBJECT-ORIENTED MULTIDIMENSIONAL (OOMD) MODEL OF DATA WAREHOUSE USING FUZZY LOGIC TECHNIQUE In the last few years' different authors have suggested several approaches to access the quality of multidimensional models of data warehouse. However empirical validation of these metrics...
** Some features require a SQL Server relational database that runs on-premises. Specifically, writeback, and ROLAP storage require that the underlying data source is a SQL Server relational database. See Also Data Sources Supported Data Sources in Multidimensional Models Data Source Views in Multi...