Data Warehouses are known for storing data over time, both historical point-in-time transactions as well as temporal data that is valid over a range of time. Storing this data is one thing, but retrieving it to answer critical business questions can be a Structured Query Language (SQL) challenge...
Audience:
Data Warehouse Analytical Modeler, Data Warehouse Application Specialist, Data Warehouse Architect/Designer