Conceptual modeling for ETL processes
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the
extraction of data from several sources, their cleansing, customization and insertion into a …
extraction of data from several sources, their cleansing, customization and insertion into a …
A UML profile for multidimensional modeling in data warehouses
The multidimensional (MD) modeling, which is the foundation of data warehouses (DWs),
MD databases, and On-Line Analytical Processing (OLAP) applications, is based on several …
MD databases, and On-Line Analytical Processing (OLAP) applications, is based on several …
Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?
Energy economy models are central to decision making on energy and climate issues in the
21st century, such as informing the design of deep decarbonisation strategies under the …
21st century, such as informing the design of deep decarbonisation strategies under the …
GRAnD: A goal-oriented approach to requirement analysis in data warehouses
Several surveys indicate that a significant percentage of data warehouses fail to meet
business objectives or are outright failures. One of the reasons for this is that requirement …
business objectives or are outright failures. One of the reasons for this is that requirement …
A scalable framework for spatiotemporal analysis of location-based social media data
In the past several years, social media (eg, Twitter and Facebook) has experienced a
spectacular rise in popularity and has become a ubiquitous location for discourse, content …
spectacular rise in popularity and has become a ubiquitous location for discourse, content …
Research in data warehouse modeling and design: dead or alive?
Multidimensional modeling requires specialized design techniques. Though a lot has been
written about how a data warehouse should be designed, there is no consensus on a design …
written about how a data warehouse should be designed, there is no consensus on a design …
Goal-oriented requirement analysis for data warehouse design
Several surveys indicate that a significant percentage of data warehouses fail to meet
business objectives or are outright failures. One of the reasons for this is that requirement …
business objectives or are outright failures. One of the reasons for this is that requirement …
Data warehouse design approaches from social media: review and comparison
With the rise of social media in our life, several decision makers have worked on these
networks to make better decisions. In order to benefit from the data issued from these media …
networks to make better decisions. In order to benefit from the data issued from these media …
[PDF][PDF] Automating data warehouse conceptual schema design and evaluation.
C Phipps, KC Davis - DMDW, 2002 - Citeseer
The popularity of data warehouses for analysis of data has grown tremendously, but much of
the creation of data warehouses is done manually. We propose and illustrate algorithms for …
the creation of data warehouses is done manually. We propose and illustrate algorithms for …
An MDA approach for the development of data warehouses
Different modeling approaches have been proposed to overcome every design pitfall of
different data warehouse (DW) components. However, most of them offer partial solutions …
different data warehouse (DW) components. However, most of them offer partial solutions …