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1Spatial Managing Big Spatial Data with Process Automation Martin.Gregory@1Spatial

1Spatial Managing Big Spatial Data with Process Automation Martin.Gregory@1Spatial.com Sales Manager. Great Expectations. An Evolution. Data providers are now supplying rich, intelligent data Driven by a need to:. Human Assistance. Delivering Speed. Human Assistance.

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1Spatial Managing Big Spatial Data with Process Automation Martin.Gregory@1Spatial

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  1. 1Spatial Managing Big Spatial Data with Process Automation Martin.Gregory@1Spatial.com Sales Manager

  2. Great Expectations

  3. An Evolution Data providers are now supplying rich, intelligent data Driven by a need to:

  4. Human Assistance Delivering Speed

  5. Human Assistance Delivering Productivity, Power & Performance

  6. Automation & Big Spatial Data

  7. Using process automation to help build and plan updates of big spatial databases

  8. Creating big spatial databases Example: PRIME2 • Will allow OSi to advance its role as the authoritative source of national spatial data and provider of data services • “The most significant revision to OSi’s data management and product generation process in over 30 years” • A database of real world features derived initially from multiple current sources • A repository for: • a topologically clean skin of the earth • Road/Water/Rail networks • Buildings/Groups/Units and their relationships to each other and to Roads

  9. Creating big spatial databases • PRIME2 is NOT a product (it can be used to derive products) • Automation played a key role in its creation • Build real world features through rules and actions • Classify features and set properties • Data validation • Estimated 5-7yr manual project completed in 18 months • Automation can also be used for other processing tasks • edge matching • positional accuracy improvement (shift vector creation and shifting)

  10. Creating big spatial databases

  11. Creating big spatial databases

  12. Creating big spatial databases 50 million features and 90% of features have been enriched and transformed into real-world features by automated processes.

  13. Buildings More complex data models to accommodate “intelligent” real world data.

  14. Using process automation to help maintain big spatial databases

  15. Maintaining the Database

  16. Maintaining the Database A “product ready” database

  17. Maintaining the Database @ Ordnance Survey Great Britain Geospatial Database Management System capable of supporting: • 500 million features capacity (+ history) • 650 users • 4000 update jobs per day • 36 million features per day throughput • 313,000 features per day updated • 99.5% system availability

  18. Automation to help exploit big spatial databases

  19. Exploiting Big Spatial Data • Automatically create new data products & services

  20. Exploiting Big Spatial Data • Utilise real world features and relationships

  21. Exploiting Big Spatial Data • Build intelligent applications

  22. Exploiting Big Spatial Data • Build intelligent applications

  23. Exploiting Big Spatial Data • Infer missing information

  24. Task Automation Data Extraction Job Planning Generalisation Data Integration Editing Cartographic Presentation Data Submission Data Validation Transaction Management

  25. About 1Spatial • Founded in 1969 • Headquarters in Cambridge, UK • International offices in Australia, Ireland, France & Belgium • Sales agent in Malaysia • Recent acquisition of the Star-Apic Group (includes Mercator) • 200+ staff • Our Business : • A specialist solution provider to data providers, government and utilities • Automation to manage and exploit big spatial databases

  26. Thank You Martin.Gregory@1spatial.com Follow us @1spatial

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