Safer’s Tips & Tricks to Optimizing 9 Favourite FME Transformers скачать в хорошем качестве

Safer’s Tips & Tricks to Optimizing 9 Favourite FME Transformers

The FME Transformer Gallery is vast, with over 500 different options to choose from. Often, knowing how to best make use of certain transformers can be a challenge. To ring in the New Year, our panel of support specialists will be taking you through their insider tips & tricks with their favourite transformers. Natalie, the Creator: For when you just need that certain something to initialize an API call or test a workflow and take your workspaces to the next level. Dan, the FeatureReader: Get more in-depth with your data reading. Flexible and dynamic workflows are about to become that much easier. Trent, the AttributeRemove & Attribute Keeper : A 2-for-1 special with the trick to deciding when to use one versus the other to save you the most time. Natalie, the Creator: For when you just need that certain something to initialize an API call or test a workflow and take your workspaces to the next level. Chris, the AttributeManager: Ever wonder what it takes to be ranked the #1 FME transformer? Learn how this transformer, commonly referred to as the Swiss Army knife of transformers, is loaded with great features to help you simplify your workspace. Jovita, the AttributeFilter: For all those times when you want to split up your data into a schema that fits your needs, whether you’re at the start of your workflow, or just about to write out at the end. Nampreet, the FeatureMerger: An atypical, but useful, tip on how to use it to merge attributes without a common key attribute. Debbi, the Counter: Not as simple as 1-2-3! Use this surprisingly versatile transformer to perform group counts and even count features at different parts of workspaces. Evie, the Clipper: Clip anything from vector, rasters, and even point clouds. A simple trick of breaking down large datasets can drastically reduce memory usage when clipping! Don’t miss the chance to join us & make it your New Years' resolution to whip your data into shape(files) with these 9 fantastic FME transformers.