Standard FME Desktop

 

 

FME Desktop Basic Training Course

 

Overview

Learn from the experts in how to use the essential components and capabilities in FME through this course, which includes extensive hands-on, problem-solving exercises.

 

Learning Objectives

  • Build both simple and complex translations using FME Workbench

  • Visualize and inspect data using the FME Data Inspector

  • Apply best practices to large workspaces

  • Manipulate data geometry and attributes with transformers

  • Work with multiple datasets in a single workspace

  • Create low-maintenance, reusable workspaces

 

Course Outline

Welcome to Safe Software

  • Course Overview

  • FME Version and Sample Data

     

Data Translation Basics

  • What is FME?

  • FME Desktop Components

  • Introduction to FME Workbench

  • Introduction to Data Inspection

  • Introduction to the FME Data Inspector

  • Using the FME Data Inspector

  • Translation Previews

     

Data Transformation

  • What is Data Transformation?

  • Structural Transformation

  • Transformation Using Transformers

  • Content Transformation

  • Transformers used in Series

  • Transformers used in Parallel

  • Group-By Processing

  • Data Inspection and FME Workbench

  • Coordinate System Transformation

 

Readers and Writers

  • Key Components

  • Workspaces

  • Readers and Writers

  • Controlling Readers and Writers

  • Dataset Parameters

  • Feature Types (Layers, Tables, and Classes)

  • Feature Type Parameters

  • Managing Reader Datasets

  • Handling Unexpected Input

 

Practical Transformer Use

  • Finding Transformers

  • Most Valuable Transformers

  • Managing Attributes

  • Conditional Filtering

  • Data Joins

 

Best Practice

  • What is Best Practice?

  • Workspace Style

  • Workbench Methodology and Prototyping

  • Format and Transformer Best Practices

  • Logging and Debugging

 

Exercises:

  • Workspace Creation and Quick Translation

  • Data Visualization and Inspection

  • Schema Editing and Schema Mapping

  • Data Restructuring, Data Transformation and Data Reprojection

  • Translation Debugging Techniques

  • ...plus many more