Oracle Database -- How to Improve Interoperability using FME

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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.

Transcript

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

info@safe.com Support

www.safe.com/support(604)501-9985 ext. 278

Steve Steve.MacCabe@safe.com

RobynRobyn.Rennie@safe.com

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