In our previous blog post we discussed a high level approach to Automated Data Validation Using FME and mentioned that a key component of that architecture was the rules DB – a database containing the data validation rules. This post expands on that idea and provides a basic framework that can be applied to authoring data validation workspaces using FME that are as simple and generic as possible, yet still provide a powerful validation solution that can be applied in a multitude of scenarios.

There are many scenarios under which data needs to be validated and FME can be one of the best available tools for not only validating your data, but also for bringing a level of automation to the validation process. If you’re familiar with FME then you’ll already be well aware of just how powerful it is for working with data in just about any format and, also, of the multitude of tools (Transformers) that allow for virtually any type of validation you can dream up. What may not be so familiar is the power of FME Server to automate workflows.

Front Point attended GeoAlberta 2019 in Red Deer over the last couple of days and had a great time! A big shout out to the organising committee for pulling together some great key note speakers and presenters and for a very enjoyable and well organised event overall.