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 data warehouse and supporting OLAP (on...
Gosain A, Mann S (2013) „‟Empirical validation of metrics for object oriented multidimensional model for data warehouse‟‟, Springer Int J Syst Assur Eng Manag.Gosain A, Mann S. Empirical validation of metrics for object oriented multidimensional model for data warehouse. International ...
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 ...
SSAS Multidimensional is not well suited for bulk data extraction. The MDX queries required for bulk data extract tend to be extremely expensive and slow.Instead reuse the queries you defined in the multidimensional model's data source views to pull the data into Fabric with ...
The authors propose a data model and a few algebraic operations that provide semantic foundation to multidimensional databases. The distinguishing feature ... R Agrawal,A Gupta,S Sarawagi - IEEE 被引量: 1105发表: 1997年 A UML profile for multidimensional modeling in data warehouses The multidimens...
database schemata expressed in an extended version of the Entity-Relationship Data Model; it is able to in- troduce complex descriptions of the structure of aggregated entities and multiply hierarchically or- ganised dimensions; it is based on Description Logics, a class of formalisms for which...
Image: Dimensional Model Example The following graphic provides an example of a star schema and its primary and foreign key relationships: Although data loaded into the MDW is primarily derived from the OWS, there are exceptions to this rule. Profitability and Global Consolidations data for the Fi...
A survey on summarizability issues in multidimensional modeling The development of a data warehouse (DW) system is based on a conceptual multidimensional model, which provides a high level of abstraction in accurately a... JN Mazón,J Lechtenb?Rger,J Trujillo - 《Data & Knowledge Engineering》...
5) multi-tier data warehouse 多层数据仓库 例句>> 6) multi-dimension database 多维数据库 1. Considering the feature and current need of electric power development, a new scheme for data warehouse of power system equipment is brought forward, and the principle and design ofmulti-dimension databas...
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...