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In FME, workspaces define the parameters of your data translation; they confirm what data should be pulled in, how that data should be transformed and the final output. Not all workspaces are created equal and in this webinar we take you through some real-world examples of how to build efficient workspaces.
The Digital RFS (Request for Service) app needed a single automated ETL solution that would remove data inconsistencies, manual processing and maintain the latest assets.
Inconsistent data capture and manual processing proved challenging for Surveyors in the field to provide As-Built that met the needs of Wellington Water’s data schemas.
Utilising FME, Locus delivered 300 highly functional Oxfam Trailwalker team maps -without the requirement for complex or expensive tracking equipment – a little bit of FME can go a long way!
PowerCo required a 2-part solution; a geo-processing component and an ETL modelling component.
Network Waitaki has a web service provided by Technology One that was intended to be used for extracting asset details to synchronise with the Geospatial Information Systems (GIS) network layers.