Workshop: Tweet"Data Modeling with Graph Databases"
Designing and Developing a Graph Database Application:
Graphs are one of the best abstractions we have for modeling connectedness. Graph databases, in turn, are one of the best tools at our disposal for modeling, storing and querying complex, densely-connected data. Today, graphs and graph databases are helping solve some of the world's most challenging data problems, in domains as diverse as search, social networking, recommendations, datacenter management, logistics, entitlements and authorization, route finding, network monitoring, and fraud analysis.
This course teaches how to design and implement a graph database application, with a focus on designing, developing and testing a graph data model and associated queries. With a mixture of instruction and hands-on practice sessions, you'll learn how to apply the property graph model to solve common modeling problems. You'll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements.
Skills taught:
- An understanding of the labeled property graph
- How to apply the property graph to common modeling problems
- Common graph structures for modeling complex, connected scenarios
- Criteria for choosing between different modeling options
- How to modify an existing model to accommodate new requirements
Prerequisites:
You will need some familiarity with Neo4j, and the Cypher language in particular.
Technical requirements
You will need your own laptop
