Data Architecture

Data Virtualization Enabling Distributed Data Architectures: Data Fabric and Data Mesh

This paper examines data virtualization for distributed data architectures i.e, data fabric and data mesh. It highlights its advantages e.g., real-time data access, simplified integration, and agility; and list its advantages in complex data environments.

Data Virtualization Layer Key Role in Recent Analytical Data Architectures

Data virtualization streamlines data integration for real-time analytics, unifying disparate sources without replication. This paper examines its advantages and use in modern data architectures e.g., logical data warehouses and data lakes.