An Overview of Data Vault Methodology and Its Benefits

Abstract

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 practices. Overall, this paper sheds light on the relevance of Data Vault in contemporary data management practices.

Keywords

• data vault
• data warehouse
• architecture
• data modelling
• etl