Training

Training is available to support users to configure and use GeolinQ. The training explains the GeolinQ concepts and provides tutorials for hands-on training. A GeolinQ tenant is available for every student during the training that will be accessible till a month after the training. Contact us for more information. 

On-premise or Online

The training can be given on-premise as well as online. the on-premise training takes a full working day. Online the training is given in two half-day sessions.   

Plan a appointment for the training.

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The training modules

The training explains the core concepts of GeolinQ and offers tutorials to experience the core functionality of the software. The training has a duration of one day and consists of the following four modules:  

Module 1: GeolinQ concepts

This module provides an overview of the GeolinQ functionality and underlying concepts required to start working with the solution efficiently. The following topics are covered in this module:    

• Data management processes
• Overview GeolinQ
• Datasources
  • Datasets
  • Class definitions
• Task management and processes
• Import and export
  • Coordinate systems
• Integration with views, unions and processes
• Styling of datasets
• Services
  • Applications and screens
• Administration

Module 2: Point clouds and raster datasets

This module aims on data managers who import, model, integrate and export point clouds and raster datasets. The following topics are covered in this module:

• Introduction point clouds and rasters
• Class definitions
  • Data definitions
  • Metadata definitions
• Point cloud and raster datasets
• Import and export of point clouds and raster data
• Create colour scales and profiles
• Seamless Point Surface (SPS) concept and configuration
• Create contours using point cloud and raster datsets
• Configure map screens and map layers

Module 3: Features

After following this module data managers are able to import, edit, model, style and export feature datasets. The following topics are covered in this module:

• Introduction feature data
• Class definitions
  • Primary keys
  • Standard geometry
  • Domain lists
• Feature datasets
• Introduction of WFS datasources
• Import and export features
• Edit features
• SLD Styling: import, edit and export styles
• Intersection of datasets
• Introduction of views and pivot tables

Module 4: Distribution

After following this module data managers are able to publish datasets to end-users using maps and web services. The following topics are covered in this module: 

• Introduction distribution and services
• Configure WMS services
• Introduction of WFS and WFS-T services
• Configure an application service
  • Manage and edit data in a map screen
  • Introduction application screens
  • Manage and edit data in a list and form screen
• Introduction of REST and SOAP Services