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FME
Author:
Mark Ireland
About FME    |    February 7, 2019    |    By Mark Ireland

The Next Generation: Enterprise-Level Automations in FME Server 2019

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…

FME
Author:
Mark Ireland
About FME    |    January 31, 2019    |    By Mark Ireland

Upserts and Dog-Walking: What’s New with Change Detection in FME 2019

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
Author:
Dmitri Bagh
About FME    |    January 23, 2019    |    By Dmitri Bagh

FME Does Computer Vision

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 […]

FME
Author:
Mark Ireland
About FME    |    January 22, 2019    |    By Mark Ireland

Parallel Processing and FME: A Redesign for 2019

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!

FME
Author:
Stewart Harper
About FME    |    January 16, 2019    |    By Stewart Harper

Introducing the FME Server Kubernetes Tech Preview

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 […]

DATA
Author:
Nathan Hildebrand
About Data    |    January 16, 2019    |    By Nathan Hildebrand

New FME Tools for Cityworks Integrations

FME has been a staple in municipal GIS departments for a long time, shuffling data from system to system, format to format, and performing spatial and non-spatial transformations along the way. But the potential of the FME platform is not fully realized until we take into account all the non-traditional or non-GIS formats and systems […]

FME
Author:
Jen Luther Thomas
About FME    |    December 21, 2018    |    By Jen Luther Thomas

FME Challenge: 12 Days of FME Hackathon 2018 Results

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 […]

DATA
Author:
Tiana Warner
About Data    |    December 17, 2018    |    By Tiana Warner

7+ Google Fusion Tables Alternatives

For journalists and data professionals worldwide, Google’s announcement that Google Fusion Tables is shutting down means a lot of data will need to be migrated over the next few months. On a Panic Scale from 1 to 10 where 10 is “pass me a paper bag to breathe into”, this is maybe about a 5? […]

FME
Author:
Mark Ireland
About FME    |    December 13, 2018    |    By Mark Ireland

FME 2019 Sneak Peek: Machine Learning and Natural Language Processing

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

FME
Author:
Ada Lee
Author:
Dmitri Bagh
About FME    |    December 11, 2018    |    By Ada Lee and Dmitri Bagh

Next Stop, Safe Software HQ

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. […]