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Spatial ETL
Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), is a process for managing and manipulating geospatial data, for example map data. It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information. A common use of spatial ETL is to convert geographical information from a data source into another format that can be more easily used, for example by importing it into GIS software. A tool may translate data directly from one format to another, or via an intermediate format. Intermediate formats are often used when data transformation must be carried out. Origins and history Although ETL tools for processing non-spatial data have existed for some time, ETL tools that can manage the unique characteristics of spatial data only emerged in the early 1990s. Spatial ETL tools emerged in the GIS industry to enable interoperability (or the exchange of information) between ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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FME (software)
FME, also known as Feature Manipulation Engine, is a geospatial extract, transformation and load software platform developed and maintained by Safe Software of British Columbia, Canada. FME was first released in 1996, and evolved out of a successful bid by the founders of Safe Software, Don Murray and Dale Lutz, for a Canadian Government contract to monitor logging activities. Software The base product is FME Form (formerly FME Desktop); this is a standalone software package with an interface that enables the user to graphically build workflows for data translation, automation, and format and coordinate conversion. FME Flow (formerly FME Server) is an 'on-premises' solution that permits on demand server based instantiations of tailored FME workflows. FME Flow Hosted (formerly FME Cloud) is similar to FME Flow however is hosted 'as needed' in the AWS Cloud. FME data transformation workflows typically consist of a combination of the following 'building blocks': # ''Readers' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |