DataMiner Foundational Training
The DataMiner Foundational Training provides a solid introduction to working with DataMiner. It combines theory, demonstrations, and hands-on exercises to help you and your team unlock the full potential of your DataMiner System.
This training is available in three formats:
- On-site training: Private training at your facilities for larger teams.
- Open training: Public sessions hosted at Skyline offices and other locations.
- E-learning: A self-paced online program on DataMiner Dojo.
Who should attend?
This training is designed for:
- Developers, operators, and administrators new to DataMiner.
- Teams who want a structured introduction to DataMiner features and best practices.
- Professionals who need to configure, operate, or maintain a DataMiner System in their daily work.
Training formats
On-site training sessions
In case DataMiner training is needed for a large group of people, this option brings a qualified DataMiner expert trainer to your facilities. With this private crash course, you and your team will be able to get the best out of your DataMiner System in no time.
Open training sessions
DataMiner Open Training sessions are open public sessions bringing together participants from different companies.
Tip
For the schedule of the next open training sessions and the registration form, refer to DataMiner Dojo.
E-learning
Prefer learning at your own pace? The e-learning version of this training is available on our community website. It follows the same structure as the open or on-site training program, enriched with videos, exercises, and self-assessments.
Tip
For the best learning experience, we recommend that you have access to a DataMiner training system of your own to practice the exercises and follow along with the modules.
Training program
| Track | Learning objectives |
|---|---|
| DataMiner Fundamentals | - Understand the basic layout of a DataMiner System. - Understand basic DataMiner concepts such as connectors, elements, services, etc. - Access the main dataminer.services apps. - Work with the main DataMiner Cube UI features. - View and set parameter data in DataMiner Cube. - Track performance data in DataMiner Cube. - Work with Visual Overview and with DataMiner views. - View and manage active and historical alarms. - Use the basic features of DataMiner dashboards and low-code apps. - Configure notifications by email or with Alerter, and interact with the DataMiner Teams bot. |
| DataMiner Configurator Level 1 | - Add, edit, and delete DataMiner connectors. - Configure information templates. - Create and manage elements. - Create, configure, and assign trend and alarm templates. - Configure alarm template groups. - Create and configure views, services, and SLAs. |
| DataMiner Configurator Level 2 | - Create your own basic Visual Overview ages using Microsoft Visio. - Create DataMiner dashboards. - Integrate basic GQI data sources in dashboards. - Configure DataMiner dashboard security. - Create and manage basic low-code apps. - Manage DataMiner users and user groups. - Create and run Automation scripts. |
| DataMiner Sys Admin | - Upgrade, back up, and manage DataMiner Agents. - Configure DataMiner Failover. - Consult and manage DataMiner logging. - Understand DataMiner data storage and configure the TTL of database records. - Configure data offloads. - Configure SNMP forwarding. - Work with scripted connectors. - Configure advanced Automation scripts. - Create custom APIs based on Automation scripts. - Configure custom commands for the Teams bot. - Create Correlation rules and work with correlated alarms. |
Each track includes theoretical presentations, demonstrations, and hands-on exercises. You can follow the entire program or specific tracks, depending on your level of experience.
This is what the daily schedule of the full training week generally looks like (slight changes in the schedule are possible):
| Day | Schedule |
|---|---|
| Day 1: DataMiner Fundamentals | - Welcome - DataMiner intro - Getting connected Lunch break - Elements: real-time data - Elements: performance data - Element enhancements |
| Day 2: DataMiner Fundamentals | - Alarms Lunch break - Dashboards & Low-Code Apps - Notifications |
| Day 3: DataMiner Configurator Level 1 | - Connectors - Elements - Trend templates Lunch break - Alarm templates - Views, services, and SLAs |
| Day 4: DataMiner Configurator level 2 | - Creating Visio files - Dashboards Lunch break - Low-Code Apps - User management - Automation info |
| Day 5: DataMiner SysAdmin | - System Center - Scripted connectors Lunch break - Automation pro - Correlation |
Practical info
- Duration: 5 days (full program).
- Formats: On-site, open, or E-learning.
- Language: English.
- Pricing: See Professional Service Credits.
How to register
For open training sessions, you can register via DataMiner Dojo.
For on-site sessions, send an email to salesops@skyline.be to discuss availability and arrange a private session for your team.