Using Non-Spatial Dashboard to Update Spatial Features
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Burns & McDonnell is a comprehensive engineering and consulting firm with over 5,000 employee-owners across multiple disciplines. Their technology consulting services include various solutions like data management, automated reporting, and project management through OneTouchPM. Justin Schweppe discusses using FME for integrating cloud and local data, highlighting JSON's advantages over XML for data processing.
Using Non-Spatial Dashboard to Update Spatial Features
- 2. Burns and McDonnell Technology Consulting Services is a team of technical specialists around the globe, offering a wide array of services and deliverables including: • Web Sites/Information Management Portals/Doc Management solutions • 2D/Web Maps/3D/4D Globe Applications • Field Data Collection/Inspections/Real-Time Monitoring • CAD/GIS/Database Integration • Automated Report Generation and Dashboards • Master Data Management Planning • Data Modeling • Advanced Automated ETL • FME Professional Services Integrated, field tested, project proven solutions Many of these information management services are bundled under OneTouchPM® which is a hybrid cloud based, web enabled, managed service allowing project managers to engage stakeholders, and share project information during planning, design, construction and inspection.
- 3. Using Non-spatial Dashboard to Update Spatial Features Justin Schweppe Burns & McDonnell
- 4. Hello! My name is Justin Schweppe, and I am a Developer at Burns & McDonnell and I have used FME for the past 3 years to make our clients successful!
- 5. FME: bridges the gap FME can solve issues that arise when dealing with multiple disparate systems. Key topics in this presentation: FME Server, Data Streaming, Transformers, and Feature Readers
- 6. Bring the Cloud down to Earth
- 7. Users make changes on a web app that is hosted on the cloud.
- 8. We can’t directly connect to the backend database.
- 9. Only http traffic is allowed to pass between the cloud and the local network.
- 10. FME Server allows for integrating data from a Web App with data behind the firewall How is this done?
- 11. Data Streaming
- 12. FME Server allows us to create a data stream that can be used to pull down the data from the cloud and integrate it with the data on the intranet.
- 13. Here’s a workspace that reads from the SQL database hosted on Amazon RDS and is published as a Data Streaming service.
- 14. Here’s a workspace that runs on the local FME server that reads from data steaming.
- 15. HttpCaller The key to reading from the data streaming service is the HttpCaller.
- 16. JSON wins! JSON • JSON stores data in arrays • JSON is lightweight • JSON is limited in terms of what objects can be modeled XML • XML stores data in trees • Parsing XML software is slow and cumbersome
- 17. Parsing JSON with FME There are a number of different transformers available to parse JSON in FME
- 18. Accessing Data on the Network
- 19. Putting it all together
- 20. Viewing the Output (DEMO)