FME supports a wide range of non-spatial data, from spreadsheets (CSV, Excel) to databases (SQL Server, Oracle) and to key applications (Salesforce, Socrata). In this webinar, discover how to easily transform non-spatial data for use, even adding a spatial component to your non-spatial data. You'll also hear how SYNCADD has been using FME to solve non-spatial challenges in a variety of situations.

1. How to Efficiently Transform
Non-Spatial Data using FME
March 13, 2013

2. Who Are We?
Dale Lutz
Co-Founder and
Vice President of Development
Safe Software
Aaron Koning
FME Server Product Manager
Safe Software

3. Guest Speakers
 Daniel Riddle
GIS Specialist for
SYNCADD Systems Inc.
 Kristofor Carle
Software Developer for
SYNCADD Systems Inc.

4. Questions are Encouraged!
This morning’s Q&A Support:
 Mark Stoakes
Manager Professional Services
Safe Software
 Iris Gutowski
Product Support Specialist
Safe Software

6. FME – Feature Manipulation Engine
Powering The Flow of Spatial Data

7. FME – Feature Manipulation Engine
Powering The Flow of Data

8. FME Capabilities
Transform Data to Use and Share
 Convertspatial data between
hundreds of formats
 Transformspatial data into the
precise data model you need
 Integratemultiple different data
types into a single data model
 Sharespatial data with people
where, when and how they need it

9. Workbench:
Graphical Data Flow Authoring

10. New to FME?
 Getting started page:
http://fme.ly/GetStarted
 Attend a weekly FME Desktop overview
webinar:
http://fme.ly/WeeklyIntro

11. Poll: How much of your data is
Non-Spatial?

12. Why FME for Non-Spatial?
 Beats Writing Code
 Easier to maintain
 Faster to configure
 Powerful Transformations and Filtering
 Supports Most Common Formats
 Consistent Handling of Spatial and
Non-Spatial in one tool

13. SpatializingTransformers

14. SpatializingTransformers

15. FME Supported Formats

17. Poll: What Non-Spatial Formats
are of most interest to you?

18. 1 - Old School Non-Spatial
Egg Information (CAT)
NEST_ID EGG_ID DATE_LAID DATE_HATCHED INCUBATION_DAYS
20 0 20040819 20040826 7
20 1 20040823 20040829 6
20 2 20040818 20040826 8
…
Species (CSV)
NestId,Species
100,BLUE JAY
101,AMERICAN GOLDFINCH
…

19. 1 - Old School Non-Spatial
DEMO
 Create a DBF file of:
 Number of Eggs
 Average Incubation
 … for each species of bird

20. 2 – The Office

21. 2 – The Office

22. 2 – The Office
DEMO
 Reorganize the Vancouver Business
Licenses Excel File
 Separate tabs for license state
 Create summary tab
 Flag errors into a new file

23. 3 – Hipster

24. 3 – Hipster

25. 3 – Hipster

26. 3 – Hipster
DEMO
 Check if my electric car needs charging
 Read the Tesla Vehicle Webservice (which returns JSON)
 Explode the JSON
 Check if charging needed
 Send email if yes
 Honk horn if NO

27. 4 – Corporate

28. 4 – Corporate
DEMO
 Update Oracle with results from
complex MS SQL Server query

29. 5 – Cloudy

30. 5 – Cloudy
DEMO
 Publish data from SalesForce to Socrata
 Filter out bad data along the way
 Plus do schema restructuring for data
sharing

31. Guest Speakers
 Daniel Riddle
GIS Specialist for
SYNCADD Systems Inc.
 Kristofor Carle
Software Developer for
SYNCADD Systems Inc.

32. Story 1: Data Upload Monitoring
• The Mission: Monitor data uploaded via a web
interface to an Army Geospatial Data Warehouse
for compliance and data model validation,
reporting the results.
• The Solution: Use FME Server and custom
transformers to run QA tests and email the
results as Excel spreadsheets.

33. SYNCADD
• Custom transformers are created and source user
parameters are published to leverage FME Server.
• Readers Used: Schema; ESRI Personal, File, & SDE
Geodatabase

34. SYNCADD
Custom
transformers
complete various
tests on metadata
tags, schema
feature classes, and
schema attributes.

35. SYNCADD
Results are
exported as
Microsoft Excel
spreadsheets
and emailed to
the user using
FME Server.

36. Story 2: Non Spatial MS Access ETL
• The Mission: Evaluate, document, and reproduce
a non-spatial ETL process currently maintained in
MS Access so that business experts (not just data
analysts/DBAs) can understand it.
• The Solution: Use FME to reorganize the process
into diagrams in custom transformers. Add visual
QA/QC checks directly into the workflow.

37. SYNCADD
• Before: SQL queries in MS Access

38. SYNCADD
• After: FME creates a diagram that is easy to understand.

39. SYNCADD
• Inspection points and FME Data Inspector make it easy
to evaluate the process even on the fly in a meeting.
• Visually compare link counts on printed diagrams after
each data import to look for possible problems.

40. SYNCADD

42. Summary
 Don’t let the Spatial scare you off!
 FME is a powerful Non-Spatial problem
solving machine
 FME is not just for the desktop
 FME Server is engineered for enterprise data
transformation
 Automate your non-spatial workflows

43. 2013 FME World Tour!
 40+ FME User Meetings
happening world wide and
one live stream
 Register
atwww.safe.com/worldtou
r

44. Upcoming webinars
 How to Easily Read and Write CityGML Data Using
FME – March 27
 How to Load Spatial and Non-Spatial Data into
Terdata using FME – April 3
 PostGIS2.0 – How to Improve Interoperability
using FME – April 24
Recorded Webinars:
 http://fme.ly/webinars

45. Poll: Would you like more
information on our free
training options?
 View the offerings at:
 http://fme.ly/online

46. We’ll Be Following Up

47. Thank You!
 For more information, contact:
 Sales
 info@safe.com
 Support
 support@safe.com
 (604)501-9985 ext. 278
 Aaron
 aaron.koning@safe.com
 Dale
 dal@safe.com
 Daniel
 daniel.riddle@syncadd.com
 Kristofor
 kristofor.carle@syncadd.com