Fundamentals of Neo4j graph database for data analysis
Graph databases have been used to make sense of data for stories such as the Panama Papers and analyzing FEC campaign contributions. Being able to model and query data as a graph enables us to draw insights from highly connected data such as email records, leaked documents, and public data.
In this hands on session we will introduce you to the Neo4j graph database, including:
- An overview of the property graph data model and how to model data as a graph
- A comparison of the property graph to other data models and database systems
- How to load datasets into Neo4j from public web APIs
- How to query Neo4j using Cypher, the query language for graphs
- How to use graph visualization tools to explore and draw insight from the data
This hands-on session is intended for those familiar with basic database concepts and who have at least some experience working with a database (such as writing SQL queries).
William Lyon is a software developer at Neo4j, the open source graph database. He works on building integrations for Neo4j with other technologies, helping users build graph applications, and also leads the Neo4j Data Journalism Accelerator Program. He holds a masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com or @lyonwj
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