Business Intelligence plays a vital role in helping organizations to extract meaningful insights from their data and make informed decisions. However, choosing the right data modeling approach can be challenging, as different methodologies have unique advantages and limitations. The focus of the current paper is to provide an insight into the Data Vault architecture, which is an emerging approach to data modeling, compared to the established methods of Kimball and Inmon. The paper conducted a comparative analysis of these methodologies, with a particular emphasis on the benefits of Data Vault. This study highlights the advantages of the Data Vault model in managing data from multiple sources and its compatibility with agile implementation p...
Data is a driving factor in our current society, its presence is in each simple and complex system h...
The paper explores applicability of high quality data modeling (HQDM)principles for data vault model...
With decades of development and innovation, data warehouses and their architectures have been extend...
Dissertation presented as partial requirement for obtaining the master’s degree in Information Mana...
Data increases tremendously with respect to volume, velocity, and variety. Nowadays, most of these d...
PhD (Computer Science and Information Systems), North-West University, Potchefstroom CampusDetermini...
Data integration advances have encountered unstable development over the most recent couple of years...
As the amount of data and the need for its processing and storage have increased, methods for its ma...
Data are generated at an ever-increasing rate. Ideally, all these data should support decision makin...
Data are the lifeblood of an organisation, being employed by virtually all business functions within...
Data warehouse (DW) solutions are becoming increasingly popular to implement in different organizati...
A data warehouse integrates data from various and heterogeneous data sources and creates a consolida...
Tlds paper proposes an enterprise modeling framework for the deployment of data warehouses. The fram...
The modern economy relies heavily on data as a resource for advancement and growth. Data marketplace...
With the growing trend of digitalization, many companies plan to use machine learning to improve the...
Data is a driving factor in our current society, its presence is in each simple and complex system h...
The paper explores applicability of high quality data modeling (HQDM)principles for data vault model...
With decades of development and innovation, data warehouses and their architectures have been extend...
Dissertation presented as partial requirement for obtaining the master’s degree in Information Mana...
Data increases tremendously with respect to volume, velocity, and variety. Nowadays, most of these d...
PhD (Computer Science and Information Systems), North-West University, Potchefstroom CampusDetermini...
Data integration advances have encountered unstable development over the most recent couple of years...
As the amount of data and the need for its processing and storage have increased, methods for its ma...
Data are generated at an ever-increasing rate. Ideally, all these data should support decision makin...
Data are the lifeblood of an organisation, being employed by virtually all business functions within...
Data warehouse (DW) solutions are becoming increasingly popular to implement in different organizati...
A data warehouse integrates data from various and heterogeneous data sources and creates a consolida...
Tlds paper proposes an enterprise modeling framework for the deployment of data warehouses. The fram...
The modern economy relies heavily on data as a resource for advancement and growth. Data marketplace...
With the growing trend of digitalization, many companies plan to use machine learning to improve the...
Data is a driving factor in our current society, its presence is in each simple and complex system h...
The paper explores applicability of high quality data modeling (HQDM)principles for data vault model...
With decades of development and innovation, data warehouses and their architectures have been extend...