What is Data Virtualization?
Data virtualization is a logical data layer that integrates all enterprise data siloed across the disparate systems, manages the unified data for centralized security and governance, and delivers it to business users in real time.
LOGICAL DATA LAYER
Data virtualization provides a virtual approach to accessing, managing, and delivering data without replicating it in a physical repository.
Data virtualization integrates data siloed across all enterprise systems, regardless of data format, location, or latency.
Data virtualization provides a centralized secure layer to catalog, search, discover, and govern the unified data and its relationships.
Data virtualization delivers the integrated information in real time to the applications used by business users.
Uses of Data Virtualization
- Analyze current business performance against previous years.
- Comply with regulations that require the traceability of historical data.
- Search for and discover interrelated data.
- Modernize business applications while replacing legacy systems.
- Migrate from on-premises applications to cloud applications.
- Monetize data by delivering it as a service.
A Better Way
We believe that data virtualization should be transparent. Companies should not spend millions of dollars and hundreds of hours rewriting applications to support modern architectures. It should be simple, economical, and transparent.
Liberate your data from the confines of proprietary data silos into new distributed computing platforms without the need for any ETL through GDP. Whether on-premise or in the cloud, SteiGen manages data movement from multiple traditional data sources to multiple target systems.