A semantic data model is the understructure of a semantic data layer that provides business-friendly data access. Mapping disparate data stores to a common semantic model builds a strong foundation for data interoperability, data exchange, and data sharing. In this course, instructor Dave Wells explores how all data, regardless of its native structure, can be viewed through a semantic lens and incorporated into a semantic data model. He provides participants with the ability to develop ontologies and taxonomies, and to collectively use these models to describe the standard terminology and agreed meaning of data in a problem domain.
Purpose
To learn simple, straightforward techniques to model data semantics as ontologies and taxonomies.
Outcome
- Understand the value and the use cases for semantic data models
- Learn to apply a semantic modeling technique to develop ontologies as knowledge graphs and property graphs
- Learn to apply a semantic modeling technique to develop standard classification of entities and properties and standard classification hierarchies
- Learn terminology analysis techniques to develop standard and controlled vocabulary
- See how semantic models are applied to implement semantic layers, increase data interoperability, and guide data integration efforts
This Course Includes:
- An 86-minute educational training video
- The video is divided into smaller sections for convenient viewing
- A 23-question exam
- “Check for Understanding” quizzes after each course section
- Self-paced and on-demand e-learning
- Unlimited course access
- Downloadable exercises and resources include:
- Example Company Profile
- Example Company Key-Value Files
- Example Company Order Document Data
- Example Company Recommendations System Requirements
- Exercise Solutions
- Course slides in .pdf format
- Course CEUs: 2.0 hours
Individual Course Price: $99
Learning Plan Price: $419
Learning Plan CEUs: 10.0 hours
We offer several bulk licensing options for corporate and group use.
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