Overview

Data Virtualization creates a virtual layer between data sources and the users/applications that need the data. It provides a unified view of data from multiple, heterogeneous sources (databases, files, cloud services) in real-time, without the need to physically move or replicate the data (unlike ETL).

Benefits

  • Agility: Faster access to new data sources.
  • Cost Savings: Reduced storage and processing costs associated with data replication.
  • Real-time Access: Users see the most up-to-date data from the source.
  • Simplified Governance: Centralized security and access control.

Use Cases

  • Logical Data Warehousing
  • Real-time BI and Reporting
  • Master Data Management

Related Terms