There is a problem validating your database
FME supports over 450 formats and applications through tools called readers and writers.
Each reader and writer has been designed to understand the specific nature of your data format to aid in the validation process. You may be using XML to store data for City GML, GPX, Land XML, or Microsoft Map Point Web.
Using validation rules to cleanse your data before use helps to mitigate “garbage in = garbage out” scenarios. Every organization will have its own unique rules for how data should be stored and maintained.
Ensuring the integrity of your data helps to ensure the legitimacy of your conclusions. Setting basic data validation rules will help your company uphold organized standards that will effectively make working with your data more efficient.
Additionally, you can automatically run any data validation workflow on a schedule (or on-demand) which means you can build a workflow once, and reuse it over and over.
To ensure that your data is fit to serve its purpose most effectively, you can add validation-based “transformers” to your workflow.
This method of validation is very straightforward since these programs have been developed to understand your rules and the file structures you are working with.
The ideal tool is one that lets you build validation into every step of your workflow, without requiring an in-depth understanding of the underlying format.
While verifying your data inputs and values is important, it is also necessary to validate the data data model itself.Readers and writers go beyond just understanding a file extension. Each of FME’s readers and writers will interpret your data by need, not just by format.