Metadata Versioning of Data Vault Data Warehouse

After three decades of development, data warehouse has been generally accepted by the industry, but the technical implementation defects and requirements such as scalability have led to the evolution of its data architecture. Data Vault provides coordinated management of multiple data areas and multiple datasets, which better meets the technical requirements of data warehouses, and makes the corresponding metadata version management an important research issue. Firstly, various entity conceptual models and metadata version management requirements in the Data Vault architecture are described, and then a meta-model for metadata version management is proposed to support expression, controlling and comparison of version evolution. Finally, based on this metamodel, a structural integrity detection algorithm is discussed to verify the ability of the metamodel to maintain metadata consistency.