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

Sales Manager

Great Expectations

Data providers are now supplying rich, intelligent data

Driven by a need to:

An Evolution

Human AssistanceDelivering Speed

Delivering Productivity, Power & Performance

Human Assistance

Automation & Big Spatial Data

Using process automation to help build and plan updates of 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

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)

Creating big spatial databases

Creating big spatial databases

Creating big spatial databases

Creating big spatial databases

50 million features and 90% of features have been enriched and transformed into real-world features by automated processes.

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

Using process automation to help maintain big spatial databases

Maintaining the Database

Maintaining the Database

A “product ready” 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

Maintaining the Database

Automation to help exploit big spatial databases

•Automatically create new data products & services

Exploiting Big Spatial Data

Exploiting Big Spatial Data

•Utilise real world features and relationships

•Build intelligent applications

Exploiting Big Spatial Data

•Build intelligent applications

Exploiting Big Spatial Data

•Infer missing information

Exploiting Big Spatial Data

Task Automation

Job Planning Data Extraction

Data Submission

Transaction Management

Data Validation

Editing

Generalisation

Data Integration

Cartographic Presentation

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

Thank YouMartin.Gregory@1spatial.com Follow us @1spatial