Discover how to easily read, write, and update data in Oracle. Via demos we'll share how FME lets you transform spatial and non-spatial data for use in Oracle and also provide an easy way to share that data with others -- all of this possible via customizable processes which can be automated. You'll also see how the FME Data Inspector's new Table View mode lets you more easily examine your data in Oracle. This webinar is the third in our series of database webinars on SQL Server, PostGIS 2.0, and Oracle.

1. Oracle Database – How to
Improve Interoperability using
FME
June 11, 2013

2. Who Are We?

3. Questions are Encouraged!

4. Questions are Encouraged!
 We’re happy to answer any questions
you have.
To submit a question:
 If we can’t get to your question during
the webinar we’ll send a follow-up
email.

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

6. FME Technology Capabilities
Transform spatial
and non-spatial
data into the
precise data
model you
need
400+
data
transformation
tools
The only complete spatial data transformation
solution
Translate spatial
data from one
format to
another
300+
supported
formats in FME
2013

7. FME Workbench Workspace
 Graphical authoring environment

8. Poll: What is your FME level of
expertise?

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

10. Poll: What frustrations do you
have with your database
workflows that don’t involve FME?

11. FME Version & Edition
 FME Oracle Database Edition
 FME 2013 SP1 and SP2
 Oracle 11g

12. Poll: What database activities do
you use, or want FME for?

13. Agenda
 Demos
 Reading and Writing – tips and tricks
 Edits and Change Detection
 Oracle Server functionality
 Storing Rasters,
 Points Clouds, Multiple Geometries Columns,
 Database Transformers
 Follow-up
 Webinar recording and materials

14. Warp Speed Demos!

15. Writing Data
 Data Loading
 Multiple Spatial Columns
 Creating complex tables
 Incremental Updates
 fme_db_operation
 SQL Key Columns or fme_where
Example
Tips n’ Tricks
 Use a unique key field
 Transaction Interval
 Set 1 for a commit on every feature
 Set to a very large number to commit at the end.
Example

16. Performance
 Make the database do the work
 Reading from Oracle
 Index, index, index – both spatial and attribute
 Writing to Oracle
 Consider disabling constraints where possible
 Indexes – dropping during large loads, recreate

17. Database Transformers
Let the database do the work…
 SQLCreator/SQLExecutor
 Efficient database joins for SQL capable datasets
 Joiner
 Multiple attribute joins
 No requirement to understand SQL
 Non-spatial only
 FeatureMerger
 Single attribute join
 No requirement to write any SQL
 FeatureReader
 Spatial & non-spatial queries
Example
Example

18. Geometry Validation
PASSED detection
FAILED detection
 Detection
PASSED detection
FAILED to repair
REPAIRED fully
 Repair
 Issue Reporting
 .issue_found
 .location_sample.x
 .location_sample.y
 .location_sample.z
 .repair_state
GeometryValidator Transformer
Example

19. GIS & CAD
 Exporting to CAD
 Dynamic Workflows
 Schema Mapping
 Schema Table
 CAD Styling
19
Example

20. Oracle and ArcMap
20

21. Question & Answer Period
FME
FME
Databases
Databases

22. Upcoming webinar
 June 19 - Open Data... Automated! Using
FME with Socrata
June 26 Oracle Training – Live Instructor
Recorded Webinars:
http://fme.ly/webinars

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

24. We’ll Be Following Up

25. Thank You!
 For more information, please contact:
Sales
info@safe.com
Support
www.safe.com/support
(604)501-9985 ext. 278
Steve
Steve.MacCabe@safe.com
Robyn
Robyn.Rennie@safe.com