Managing Data Interoperability with FME

Managing Data Interoperability with FME

Tony KentApplications Engineer

IMGS

IMGSWe deliver innovative spatial solutions For the desktop, web and mobile Built on our partner’s technology

Designed to meet the challenges of Government, Mapping Agencies, and Utility & Communications Customers

Safe SoftwarePowering the flow of spatial data with FME

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Enabling people to use their spatial data where, when and how they want to

Most Used Spatial Interoperable Solution in Ireland

Why Spatial ETL?Significant proliferation of different spatial data formats and types

Hundreds of formats, with more added each yearMultiple types of data stored in multiple systemsUnique data model requirements for each application

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Why Spatial ETL?

Traditional approaches to data translation and data model manipulation are not viable

Complex, inefficient and time-consuming

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Why Spatial ETL?Increasing pressure for access to spatial data

More users, beyond traditional GIS usersExpectations of real-time custom data views, 24x7

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FME Capabilities

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The only complete spatial ETL solution

Translate spatial data from one format to another

Transform spatial data into the precise data model you need

Integrate different data types into a single data model

Distribute spatial data to users where, when and how they need it

FME DesktopFlexible and powerful spatial ETL toolsetTranslate, transform and integrate data in hundreds of formatsGraphical authoring environment

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Step 1 - Extract

Select and add the source dataset(s)

Step 2 - Transform

Add transformers to manipulate the

data as it moves from source to

destination Step 3 – Load

Load the transformed data into a

destination format and source

FME Workbench

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Use simple point and click to easily define spatial data flows to translate, transform and integrate your data

ExamplesAutomating Ordnance Survey data updates

Pushing NTF data to multiple GIS platformsStripping out unnecessary data Adding custom styling and symbology – CADE.g. Eircom, ESB, Fingal County Council

Publishing data to internal public portals Bulk and transactional updates Fire wall Friendly – use selected portCompletely automated E.g. Dublin City Council

Open Data ChallengeYou want to meet Open data requirements, but your data is organized rather differently

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?What FME does …

Build data bridges to your SDI

SDI Harmonization Core Concepts

Harmonization: implied requirement for building an SDIDisparate sources must be mapped to a common destination data modelCore to the harmonization workflow is a process called schema mapping.Delivered by services based on open standards

Harmonization PrinciplesTypical stages:1. Evaluation2. Assembly3. Transformation4. Validation5. Publication

Based on the Spatial ETL concept (Extract, Transform and Load), as applied to INSPIRE SDI’s

Metadata – Data about data

Describes data structurestablesgeometry typesdata typesfields

Describes data contentcoordinate systemextentmodification datequality, ownership, etc.

Metadata - Purpose

Key FME Metadata CapabilitiesReading

Writing

Updating

Harvesting

Validating

Integration with web services

Data Transformation - Schema

Reshape source data to match required destination schema

Schema mappingfeature typeattribute namenew attribute creationcode listsconditional value

mappings

Feature Type Mapping in FME Workbench

Attribute Mapping in FME Workbench

Schema Mapping in FME

Value Mapping

FME Data Model Restructuring: Attribute Names & Values

FME SchemaMapper: INSPIRE geographic names

Name mapping

Name & value mapping

FME Workspace

Transformation: GeometryNon-spatial to spatialGeometry extraction (spatial to GML)Representation transform: CAD drawing lines with labels to GIS polygonal features with attributesCoordinate System Reprojection (ED50 to ETRF89)Simple to complex geometry

Source point and polygon data to multiple geometric representations (city as point / area, river as line / area)

Generalization and interpolationHighly granular national and regional datasets often require thinning to be usable on pan-European scales

ValidationSchema validation i.e. INSPIRE (xsds)Data integrity

Unique IDsGeometric integrity (closed polygons)Null values (nullable?)Valid values: ranges and domain codesData gapsBoundsNetwork integrity

Custom validity rules specific to domainValidation automation via FME Server upload

Ensure data quality throughout the data transformation process

Publish workspace to FME ServerStore the workspace in a central repository

Make your FME workspaces available to others –over the web

Register the workspace with one or more services (Data Streaming, Data Download, etc.)

Publication with FME Server

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Format translationSchema mappingString and list manipulationData validationDatabase load and extractXML,GML,WFS: reading, validation, publicationWeb services: WFS, WMS, integration with othersMetadata supportEnterprise services with FME Server

FME Tools for INSPIRE

FME can provide all the tools to help build support your data sharing needs:

Integrate your data sources

Manage your meta data catalogues

Transform your data to standard schemas

Publish the data in the required formats

Summary

Thank You

For more information:

Email: ckirk@imgs.ie or tkent@imgs.ie

Web: www.imgs.ie