Data Virtualization: Data Integration Evolution
Data virtualization lets organizations access and manipulate data without knowing its physical location, format or other details. This approach creates an abstraction layer that liberates data from the technologies used to store and manage it. For CIOs, data virtualization offers an alternative to traditional data integration, which relies on extract, transform and load (ETL) products. While ETL tools pull data residing in a database or data warehouse, data virtualization technology can retrieve data from various systems without having to first relocate that data to a centralized repository. The upshot: enterprises can more rapidly access data for dashboards and BI applications, since there is no need to physically move the data from one place to another. This ease-of-access factor will become increasingly important as CIOs look to analyze information from a range of fast-growing data sources.