Data warehouse modeling techniques are methods of designing ... Its effectiveness lies in the ability to capture the multidimensional nature of financial data, fostering a model that not only ...

Abstract: This paper proposes Graph Multi -Dimensional Data Model (GMDDM) of a Data Warehouse and conversion of its equivalent Object - Oriented Schema. Data warehouse representation is complex itself ...

Based on this, the article combines the characteristics of university business data and practical application needs, and proposes a framework design for the university data warehouse ... governance, ...

They propose a novel experimental approach to the design a multidimensional data model that uses principles of the anchor modeling technique. Learn the latest news and best practices about data ...

This reduction is due largely to the aggregation of relational warehouse data into dimensions in the ... The best measurement of the efficiency of a multidimensional data model is in the number of ...

Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of ...

Created multi-dimensional data model (STAR Schema) and enhanced it to meet growing requirements. Developed a centralized data warehouse, pipelining retail data from diverse data sources using Talend ...

Created a data warehouse adhering to data warehouse standards with a conventional star schema model. Analyzed the extracted data and created a multidimensional cube using SSAS, suitable for reporting ...