Data Virtualization provides a modern approach to integration by meeting the data where it resides as opposed to traditional ETL/DW approaches that replicate data across siloed data marts and data lakes. Instead, a unified data view is presented to consumers with a layer of abstraction from the underlying data sources with the highest degree of query optimization for reporting purposes and the utmost data quality through elimination of unnecessary data movement.
Business drivers for Data Virtualization
- Data Migration without business impact
- Data Modernization from Legacy to Cloud-based architectures
- Logical Data Lakes and Data Warehouses
- Data Abstraction from Legacy Systems
- Agile BI through accelerated data access
- Unified data governance and access control