TrendMiner's ContextHub is a detail factory, repository and search engine for Context Items that can be neatly aligned to both assets and processes. ContextHub is a platform in its own right and can be configured to requirements, so that context itself becomes a powerful new dataset that can be both visualized and analyzed. Events can be automatically captured, manually entered or easily imported from external business solutions, such as; Laboratory Information Management Systems, Maintenance Management Systems and OEE systems, thus maximizing the flexibility of contextual information crucial to today's self-service visual analytics.
This self-paced course enables you to become familiar with advanced workings of ContextHub with relation to both DashHub and TrendHub and enables you to become self-sufficient in its management.
The TrendMiner: ContextHub Essentials course is based on several parts: Basic, Core and Electives (to come).
Learning Objectives
At the end of this course, learners will be able to:
- Manage advanced navigation around TrendMiner and ContextHub
- Understand the Asset structure used in TrendMiner
- Manage context items, context views and work advanced operations of Grid, Gantt and live modes
- Understand the advanced relationships between ContextHub, DashHub and TrendHub
Software Versions Covered
- TrendMiner Versions 2021.R2 and onwards
Intended Audience
- This course is intended for those with a basic understanding of data analytics.
- Process Engineers, Process Operators, Data Analysts
Skills Pre-requisites
- Basic Computing Skills
Content Topics
- Advanced ContextHub Concepts and Asset Structure
- Context Item Structure
- Context View Structure
- ContextHub Modes
- Advanced ContextHub & DashHub Integration
- Advanced ContextHub & TrendHub Integration
Delivery Method
- Essentials courses are delivered as Self-Paced Course (pre-recorded Instructor presentations, product demonstrations, and hands-on exercises, as applicable)
- Please Note: Should you prefer to complete this course with a live instructor, please contact your Software AG Education Services for more details.
Self-Paced Duration
- Minimum of 5 hours
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