These tools allow non-GIS professionals to access their data stored in industry standard Pipeline Data Models. This process allows these people access to data stored in many disparate tables inside complex data models that normally would take weeks to develop as standard turn key reports. The presentation also examines the process from moving these workbenches from the desktop to the server.

1. Simplifying the
Complex:
Serving data from
Pipeline Data Models
Peter Veenstra
TRC

2. Introduction
Peter Veenstra

3. Problem or Challenge?

4. GIS is difficult, users want data …
Non-GIS Professionals need access to
data to do their jobs  in XLS
Industry Standard Pipeline Data Models
are complex  Linear Referencing
Data stored in Silos – hard to synchronize
or coordinate …
Model, Load, As-Built – Re-build Silo 1 Silo 2

5. Big Gnarly Mess
1000’s if not 10’s of 10000’s miles of data
overlaid on a single route.
Linear events (in 100’s of tables) related
to each other by common position along
the pipeline but without formal relates.
Potentially 7+ million segments to process.
X
Good
Well Drained
Test 1 - Current
MAOP
T
MFL
Type 1
Type 2b Type 2a
X X X X X X
Poor
Poorly Drained
Test 2 - Current

6. Solution
Build Toolboxes using
FME
Move toolboxes to
server.
Let the data be
consumed.

7. Toolboxes
FME Toolkit for Pipeline
Data Models (PDM)
FME Toolkit for Linear
Referencing (LRM)
FME Toolkit for
Database Integration
(DIM)
XYZM
PL-AAA
XYZM
XYZM
Sum
Latest
Merge

8. Move to FME
Server
What is Server?
Why is it better than
scheduled tasks and
scripts?
Planned Migration
(build, then optimize)

9. Aggregation
Data Warehouse
FME Server
Build a data ware-house
aggregating data stored
in different silos …
- Shared coordinate
plane
- Hierarchy to
Hierarchy translation
- Dynamic
Segmentation into
massive table
PODS Silo 1 Silo 2 Silo 3

10. X
Good
Well Drained
Test 1 - Current
MAOP
T
MFL
Type 1
Type 2b Type 2a
X X X X X X
Poor
Poorly Drained
Test 2 - Current
FME Server
Services Bus
Query Engine
Tableau
Hierarchy Finder
Data Extractor
Data Delta Finder/Synchronizer
Data Health
2016: Status and Progress Tracker

11. A lot to get
your head
around …
Subscribe, publish,
consume … respond.
Services-oriented rather
than task-oriented
Event-driven rather than
procedural …

12. GIS is difficult, users
want data …
"Good data leads to
good knowledge, and
good knowledge solves
problems."
Good data eh!

13. Thank you!
Peter Veenstra, TRC
pveenstra@trcsolutions.com
816-820-7841