FME Desktop Overview Webinar
Get a detailed overview of the features and capabilities of FME Desktop in this interactive webinar.
Unleash the Power of Your Spatial Data with Spatial ETL Technology
Interest in spatial data is growing exponentially as organizations begin to see the value of capitalizing on their spatial information to:
- enhance business analyses;
- add a new dimension to the decision-making process;
- and answer the question "where?"
However, the ability to use, manage and share spatial data is plagued with interoperability challenges such as proprietary and evolving data formats, new schemas, a lack of standards, and difficulty translating, transforming, integrating and distributing data. These factors make it difficult for organizations to tap into the power and potential of their spatial data.
To overcome these challenges and capitalize on the value of their spatial data, organizations require the ability to:
- efficiently extract spatial data from a desired datastore
- transform it into the requested format and data model
- load it into a target system and present it to end users
Often referred to as extract, transform and load (ETL), these capabilities allow spatial data to seamlessly flow to end users while protecting the integrity of the data structure as it is transformed into the desired format, data model and repository.
At Safe Software, we understand the important role of spatial ETL and have designed FME with this in mind. The only complete spatial ETL solution, FME addresses the full spectrum of data interoperability challenges by delivering the most extensive format support for data translation and integration, and providing unlimited flexibility in data model transformation and distribution.
FME helps organizations efficiently extract the spatial information they require while eliminating the need for costly, time-consuming workarounds and custom software development. Designed for true data interoperability, FME unleashes spatial data so people can use it where, when, and how they want to.