This webinar is recorded and available on YouTube.
The Enterprise Knowledge Graphs can boost the productivity of every organization providing more efficient access to its most valuable asset – the company information. Graphs put information in context in order to provide unified access to and correct interpretation of information across different data-centric systems. We will demonstrate how GraphDB 9.5 allows one to combine the two main principle approaches in integrating data: collect (ETL) vs connect (virtualization).
The main focus of the webinar is the new data virtualization features released in GraphDB 9.5, implemented by the integration of the open-source Ontop platform. We will show practical examples of how to use it. The webinar has a very practical approach and will cover the following topics:
- What is data virtualization and its common use cases
- The main limitations of the data virtualization approach
- The design principles of virtualization with GraphDB
- How to write R2RML and OBDA file descriptors to map relational schema to graphs
- Simple and more advanced querying, indexing and reasoning with remote data
- Combining local and virtualized data via SPARQL federation
All these features are available in the GraphDB Free Edition!
What you will learn:
- How to implement data virtualization with all editions of GraphDB 9.5
- How to deep dive into the Ontop project and all its core features
- How to resolve the dilemma to connect (virtualize) or collect (ETL) data
Who is this webinar for:
- Any novice or advanced RDF users
- Architects who want to build a performant data architecture with NoETL
- Data engineers who want to automate data processing and become more efficient
- Data scientists who need to analyze information from multiple sources
Expected duration:
- 45 minutes presentation
- 15 minutes Q&A session
