Sometimes new FME functionality takes such a giant leap forwards that it improves older techniques by many orders of magnitude.
FME Server Automation is one such upgrade. It automates data-driven workflows using notifications, but also scheduled tasks and system events. And it does all that using an intuitive point-and-click, web-based interface. This article shows you how…
To identify differences between two datasets you use a technique called change detection. Although there is a ChangeDetector transformer, previously an FME Hub transformer by the name of UpdateDetector was commonly used.
But in 2019 we have a great update to the ChangeDetector transformer that should make it your go-to transformer from now on…
FME 2019 can recognize objects in images, thanks to a new set of computer vision transformers. Here’s how you can train FME to recognize custom objects in large volumes of incoming raster data, with a downloadable example using stop signs. What do you see on this photo? You are probably more puzzled by the question […]
Parallel Processing can be a big deal in terms of performance. Modern computers have multiple cores and spreading processes over these cores makes the most of the available computing power.
FME takes advantage through parameters that define multiple processes. Plus transformers that parallel process also have an “Input Ordered” parameter, which is another performance-enhancing tool.
Except… we saw support cases and test results that suggested we ought to redesign the parallel processing setup; so for FME 2019 that’s exactly what we did!
By deploying FME Server with Kubernetes, the most popular system for managing containers, large enterprises can easily maintain consistent FME Server deployments across the cloud. Here are some reasons why you might want to deploy FME Server with Kubernetes, along with resources on how it works and how to get started. What is Kubernetes? It […]
Once again this year we ran the 12 Days of FME Hackathon, giving the FME community the chance to submit a project of their choice (as long as it uses FME) for a chance to win this prize pack: It seems like you can group entries into 3 categories: holiday related (an FME based letter […]
Natural Language Processing (NLP) is a technique for computer learning of natural human language. Technically, natural language is any normal language that has evolved, to be used in a natural way of speaking. So NLP is all about understanding and processing human words.
This article shows one particular aspect of NLP: the ability to mine information and categorize it, based on prior examples. FME2019 will include two new transformers
We’ve moved! After 20 years of great memories at our previous location, we decided to move to a bigger, better, and brighter space to accommodate our growth. After a month of auctioning off items for a good cause and a flurry of packing, we moved into the new Safe Software HQ on December 10, 2018. […]
After the success of last year’s “FME Challenge: 12 Days of FME Hackathon”, I am pleased to announce that we’re doing it again this year! If you missed it last year, the idea is that we give you 12 days (starting right now!) to work on and submit a project to the FME Knowledge Centre. All you […]
If you’re a long-term fan of FME or follow Safe Software on social media, there are probably three things you already know: We really like eating our own dog food. We like donating to charity/giving back to the local community. We’re moving to a brand new office in December 2018. As anyone who’s moved house […]