Load Data from a Jupyter Notebook to Amazon Neptune and Run Queries with SPARQL
In this lab, you'll practice using the SPARQL language to insert and query data in an Amazon Neptune database. When you're finished, you'll have the beginnings of a company organization chart.
Terms and conditions apply.
Create RDF Triples to Represent Entities in the SPARQL Graph
You'll begin creating your graph by first creating RDF triples to represent the entities of the graph.
Create RDF Triples to Represent Relationships Between Entities
Now that the graph model contains some entities, you'll connect these entities using additional RDF triples.
Visualize the Graph Model
Now that the graph model contains entities and relationships, you'll create visualizations based on those relationships.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.
- Jupyter Notebooks
- Resource Description Framework
- SPARQL Language Fundamentals