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Simplifying the Complex: Serving data from Pipeline Data Models Peter Veenstra TRC
Introduction Peter Veenstra
Problem or Challenge?
GIS is difficult, users want data … Non-GIS Professionals need access to data to do their jobs  in XLS Industry Standard ...
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)...
Solution Build Toolboxes using FME Move toolboxes to server. Let the data be consumed.
Toolboxes FME Toolkit for Pipeline Data Models (PDM) FME Toolkit for Linear Referencing (LRM) FME Toolkit for Database Int...
Move to FME Server What is Server? Why is it better than scheduled tasks and scripts? Planned Migration (build, then optim...
Aggregation Data Warehouse FME Server Build a data ware-house aggregating data stored in different silos … - Shared coordi...
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 FM...
A lot to get your head around … Subscribe, publish, consume … respond. Services-oriented rather than task-oriented Event-d...
GIS is difficult, users want data … "Good data leads to good knowledge, and good knowledge solves problems." Good data eh!
Thank you! Peter Veenstra, TRC pveenstra@trcsolutions.com 816-820-7841
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Simplifying the Complex: Serving Data from Pipeline Data Models

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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.

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Simplifying the Complex: Serving Data from Pipeline Data Models

  1. 1. Simplifying the Complex: Serving data from Pipeline Data Models Peter Veenstra TRC
  2. 2. Introduction Peter Veenstra
  3. 3. Problem or Challenge?
  4. 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. 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. 6. Solution Build Toolboxes using FME Move toolboxes to server. Let the data be consumed.
  7. 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. 8. Move to FME Server What is Server? Why is it better than scheduled tasks and scripts? Planned Migration (build, then optimize)
  9. 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. 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. 11. A lot to get your head around … Subscribe, publish, consume … respond. Services-oriented rather than task-oriented Event-driven rather than procedural …
  12. 12. GIS is difficult, users want data … "Good data leads to good knowledge, and good knowledge solves problems." Good data eh!
  13. 13. Thank you! Peter Veenstra, TRC pveenstra@trcsolutions.com 816-820-7841

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