Put simply , the Logical Data Warehouse is a data system that encompasses the concepts of a traditional enterprise data warehouse , while including data from other data sources in addition to that from one ( or more ) core data warehouses . Though the Logical Data Warehouse embodies something of a technological evolution , it does not serve as a replacement for current data warehouse practices . Instead , the Logical Data Warehouse permits IT organizations to make a large number of data sets and sources available for analysis via query tools and applications , all while improving decision-making and cost savings . There you have it , the “ what ” and the “ why ” of the Logical Data Warehouse ( also see Figure 1 ).
Figure 1 : The “ What ” and the “ Why ” of the Logical Data Warehouse
A new data management architecture for analytics combining the strengths of traditional repository warehouses with alternative data management and access strategy .
Why a LDW ?
Allows the integration of multiple data sources including enterprise systems , the data warehouse , additional processing nodes , web services , cloud , and unstructured data .
Permits IT organizations to make large numbers of data sets available for analysis via query tools and applications . p
What is a LDW ?
A data system that follows the ideas of traditional EDWs , and includes , in addition to one ( or more ) core DWs , data from external sources .
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