Spatial Data Warehouse Data Warehouse is a collection of spatial data theme oriented, integrated, nonvolatile, variations in time and geography adding data for decision making. However, the geographical component is not a factor added, but a dimension or variable in the information technology in such a way that allows the entire business model as a holistic entity, and through tools, online analytical processing ( OLAP), not only has high performance on multidimensional query but can additionally display the results spatially.The spatial data warehouse forms the heart of an extensive geographic information system for decision making, this like the GIS, allowing many users access to integrated information, unlike a simple data store that is oriented item, the Data Warehouse space is additionally Geo-Relational, ie relational structures that combine and integrate spatial data with descriptive data. Today’s geo-objects, ie the geographic elements that appear as objects with all their properties and behaviors, and additionally are stored in a single database Object-Relational. The Spatial Data Warehouse are based applications in high performance databases that use client-server architectures for integrating various data in real time.While data warehouses work with many data types and sizes, many of which do not reference spatial location, although intrinsically possess, and knowing that 80 of the data have representation and location in space, in the Data Warehouse space, the geographic variable plays an important role in the information base for the construction of analysis and the same as for a data warehouse, the time variable is essential in the analysis, Data warehouse space for the geographic variable should be stored directly into it.