data virtualization basics.mp4

An overview of data virtualization – this aligns with industry analyst concensus view. The four basic features of all data virtualization systems: virtualization, abstraction, federation, presentation (transformation). Advanced data virtualization using an architecture based on a persistent metadata server. Application of data virtualization to solve data integration, data management, business intelligence and data warehousing problems. Comparison with ETL Tools (extract, transform, load). For more information
Source: Data virtualization basics.mp4 (Youtube).