What is spatial data warehouse?
What is spatial data warehouse?
Spatial data warehouse describes a collection of geospatial data to support spatially related business activities and decision making. It provides a common data model that integrates seamlessly both spatial and non-spatial data.
What is a topological data structure?
Topology is a mathematical approach that allows us to structure data based on the principles of feature adjacency and feature connectivity. Without a topologic data structure in a vector based GIS most data manipulation and analysis functions would not be practical or feasible.
What is data warehouse infrastructure?
Data warehouse infrastructure involves many data platform and tool types. These may be on premises, in the cloud, or in hybrid combinations of the two. Data warehouse infrastructure is increasingly hybrid, in the sense of on-premises and cloud-based systems integrated into a unified architecture.
What is the core of the data warehouse?
In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources.
What is a topological model?
Topology is defined as a mathematical model used to define the location of and relationships between geographical phenomena. More generally, topology, in the context of spatial data, can have several other meanings: A mathematical model of features in space (e.g., nodes, edges, and faces).
What are topology rules?
Topology rules can be defined between subtypes of features in one or another feature class. This could be used, for example, to require street features to be connected to other street features at both ends, except in the case of streets belonging to the cul-de-sac or dead-end subtypes.
