A logical data warehouse is a data management architecture for analytics, which combines the strengths of traditional repository warehouses with alternative data management and access strategy. It provides an abstraction and integration layer that hides details from users of the data, thus allowing the users to easily access data in traditional data warehouses. With the growth of data volume, data will be multi-structured and won’t fit into the existing databases, thus leading to the formation of many data stores which won’t allow getting full value out of the data. Whereas, the logical data warehouse allows one to access and govern these different data stores as if they were a single logical data store, thus making it easy. Read more at: http://www.datavirtualizationblog.com/logical-data-warehouses-matter/