Microsoft SQL Server – How to Improve Interoperability using FME

Microsoft SQL Server – How to Improve Interoperability using FME

May 1st, 2013

Who Are We?

Mark StoakesProfessional Services Mgr

Robyn RennieFME Desktop Support Mgr

Questions are Encouraged!

This morning’s Q&A Support:

Steve MacCabe Professional Support Specialist

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 SQL Server Edition

FME 2013 SP1 SQL Server 2012

Poll: General Questions

Agenda

Demos Reading and Writing – tips and tricks SQL Server functionality Database Transformers Supported Database functionality Edits and Change Detection

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 Use Bulk Insert mode - 5-10x speed increase 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

Index, index, index – both spatial and attribute

Bulk insert mode where available on Inserts – 5-10x speed increase inserting into SQL Server

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

20

Example

SQL Server and ArcMap

21

Question & Answer Period

FMEDatabases

2013 FME World Tour!

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Register atwww.safe.com/worldtour

Upcoming webinars

Oracle - How to Improve Interoperability using FME – June 11

Reading and Writing XML with FME – May 8th

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

Mark Mark.Stoakes@safe.com

Robyn Robyn.Rennie@safe.com