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 www.queplix.com
Source: Data virtualization basics.mp4 (Youtube).