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IntellinQ © 201516-10-2015 1
Spatial Data Management
GeolinQ
Milan Uitentuis
IntellinQ © 2015
Contents
• Welcome to IntellinQ
• Spatial Data Management
• GeolinQ Concepts
• Demo
• GeolinQ Implementation
• Getting Started
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Welcome to IntellinQ
• Spatial Data Management Software
Solutions
• Founders• Mark Terlien, Product Development
• Boris van Luipen, Project Management
• Milan Uitentuis, Commercial Manager
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IntellinQ Products
dKart Bathy Manager
• Bathymetric Data Management
• For: Jeppesen Marine, Norway AS
GeolinQ
• Spatial Data Management
• IntellinQ software license product
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Spatial Data Management
• What is Spatial Data Management?• Making spatial data and metadata, accessible and usable by a variety of users and
applications
• Why Spatial Data Management?• Use best available data for running your business
• Challenges• Number of data sources and datasets and volume of acquired data• Data quality• Data discovery• Changing information needs• Sharing data
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Why GeolinQ?
• Reduce time to find best available data
• Share spatial data easily
• Avoid risks to acquire data more than once
• Improve data quality by enforcing validation rules and metadata use
• Cost effective adaptation to changing data sources and information needs
• Reduce implementation and operational costs of data management
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GeolinQ Flexible Data Model
Link to
Data
Sou
rces
Link to
Data Services
Entity Datasets
Point Datasets
Feature Datasets
Web Services
File Import
Databases
Web Services
File Export
Web Portal
Data Sources Data Services
GeolinQ Data Management Concept
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Datasets
• Datasets are the universal interface to all data in GeolinQ
• Entity Dataset• Dataset for administrative data
• Point Dataset• Dataset for point clouds and raster data
• Suitable for huge amounts of points
• Feature Dataset• Dataset for storing features
• Configurable feature styling
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Flexible Data Model
• Why is a flexible data model needed?• Keep aligned to changing organizational information needs
• Characteristics flexible data model:• Support powerful data model OO concepts like inheritance• Cost efficient runtime configuration without redevelopment:
• Runtime definition and modification of the data structure by the end-user
• Runtime definition and modification of the meta data for the datasets by the end-user
• Data model enables effective and efficient search and retrieval of all
managed data in GeolinQ
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Data Sources
• Data Sources making external data sources accessible as GeolinQ datasets
• Catalog Data Sources• Tabular ASCII• Geotiff (Satellite imagery and aerial photos)• LAS (Point Clouds, Laser scans)• Shape (Cadastral, Roads, Assets, etc.)
• Service based Data Sources• Web Coverage Service (WCS)• Web Feature Service (WFS)
• Database Data Sources
• Custom Data Sources
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Data Services
• GeolinQ datasets are accessible as services for end-users to optimize data integration
• Services are configured by the customer to meet information needs of the end-user• WMS Service
• Configurable map layers for all spatial datasets and custom styling
• WFS Service
• Configurable service to access feature datasets
• WCS Service
• Configurable service to access point datasets
• CSW Service
• Configurable catalogue service to publish services and datasets
• Custom Data Services
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Implement and deploy GeolinQ
• GeolinQ architecture is optimized for easy implementation and deployment
• Configuration instead of development
• Web-based
• Scalable
• OGC web service
• REST Interface
• SDK
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Demo
• Query and Visualization
• Data Modeling
• Data Sources
• Data Services
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Dataset challenge!
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Case Driven Implementation
• A case resolves an information need and is small enough for an iteration
• A case consists of a limited set of spatial data to be managed in GeolinQ
• Model the data in GeolinQ: • Define the data structure
• Define the metadata structure
• Import data into GeolinQ or link data to GeolinQ
• Validate, style and visualize the data
• Define services for end-users
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More Information
Milan Uitentuis06 [email protected]
Websites:www.intellinq.comwww.geolinq.com