M.App Enterprise Tutorials

Not sure on how to get started or looking for a workflow to get M.App Enterprise up and running. Tutorials provide step by instruction on some of the most common configurations and workflows to get M.App Enterprise configured up and running quickly.
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Enhanced Vector Dataset validation

by Technical Evangelist on ‎09-17-2018 01:38 AM (363 Views)

With M.App Enterprise 2018 release (16.5) there are more built in validations on vector data during the import process. We encountered issues when the vector data's bounding box did not fit within the CRS (area of use).

This scenario could lead to problems during the cache creation process.


To solve this issue all vector datasets are now validated against the CRS area of use. You can spot problems with your vector datasets after importing right away. If you see a invalid vector dataset you get more information with a tooltip on the invalid symbol.




If there invalid datasets in your list you get a new button added to the list. If you click on the INVALID button you get a quick filter to all invalid datasets. (So you don't have to go through the entire list.)



The checks are also performed while using the invalid vector datasets in legends, overviews or vector sets. You can't add invalid datasets anymore.