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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.
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Oracle Database – How to Improve Interoperability using FME
June 11, 2013
Who Are We?
Questions are Encouraged!
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.
Powering The Flow of Data
FME – Feature Manipulation Engine
FME Technology Capabilities
Transform spatialand 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 oneformat to another
300+ supported formats in FME 2013
FME Workbench Workspace Graphical authoring environment
Poll: What is your FME level of expertise?
Getting started page:
http://fme.ly/GetStarted
Attend a weekly FME Desktop overview webinar:
http://fme.ly/WeeklyIntro
New to FME?
Poll: What frustrations do you have with your database workflows that don’t involve FME?
FME Version & Edition
FME Oracle Database Edition
FME 2013 SP1 and SP2 Oracle 11g
Poll: What database activities do you use, or want FME for?
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
Warp Speed Demos!
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
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
Database TransformersLet 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
Geometry Validation
PASSED detectionFAILED detection
Detection
PASSED detectionFAILED to repairREPAIRED fully
Repair
Issue Reporting .issue_found .location_sample.x .location_sample.y .location_sample.z .repair_state
GeometryValidator Transformer
Example
GIS & CAD
Exporting to CAD Dynamic Workflows Schema Mapping Schema Table CAD Styling
19
Example
Oracle and ArcMap
20
Question & Answer Period
FMEFME
Databases
Databases
Upcoming webinar
June 19 - Open Data... Automated! Using FME with SocrataJune 26 Oracle Training – Live Instructor
Recorded Webinars:http://fme.ly/webinars
View the offerings at: http://fme.ly/online
Poll: Would you like more information on our free training options?
We’ll Be Following Up
Thank You!
For more information, please contact:Sales
[email protected] Support
www.safe.com/support(604)501-9985 ext. 278
Steve [email protected]
