Are you a new FME Desktop user? This webinar is for you! Covering some of the most common questions we get from users who are just starting out, this webinar provides a crash-course in FME basics, including building translations, choosing transformers, and creating reusable workspaces. Though most of the audience will be new to FME, we know that even seasoned pros will pick up tips and tricks along the way.
7. Connect Your Data Sources Transform Your Data Automate Your Workflows
8. CONNECT YOUR DATA SOURCES
FME supports geospatial data, structured and unstructured
data, linked data, and time series.
Share
Connect data
between 400+ sources
Extend
Extend FME’s capabilities
with custom connections
Enable
Power business decisions
by removing data silos
9. Validate
Validate to ensure
high quality data
Adjust
Adjust workflows to meet
changing requirements
TRANSFORM YOUR DATA
Use any combination of transformers to address all
levels of complexity.
Modify
Restructure, filter,
calculate & more
10. FME® Integration Platform
FME Desktop FME Server FME Cloud
Connect. Transform. Automate.
FME is the data integration solution with the best support for spatial data worldwide.
Build & Run Workflows Automate Workflows (on-premises) Automate Workflows (cloud)
13. When is the Feature Information Window helpful?
● Coordinate systems
● 2D or 3D
● Geometry extents
● User Attributes
● Format Attributes
● Working with lists
● Vertex points
23. 23
Dataset vs. Feature Types
Database:
The database is the
dataset
The tables are the
feature types
Authoring: Readers, Transformers, Writers
File:
The file is the dataset
The sheets/layers are
the feature types
Directory:
The directory is the
dataset
The individual files are
the feature types
▪ A reader defines a dataset, a single reader may have many
feature types (tables)
26. Writing Data
Ways to add data:
1. Quick Add
2. Writer Icon
3. Writer Menu
Tutorial
27. 27
What do the different colors in my workspace mean?
Authoring: Readers, Transformers, Writers
Reader and writer
feature types
Transformers
Can you spot the incomplete transformers?
Which ones have feature caching?
28. 28
Fanout
Dataset:
New file for each group
▪ A fanout is a way within FME to split output data based upon the value of
an attribute. The data is divided at the time of writing, rather than within
the workspace itself
Feature Type:
New sheet for each group
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