Data is both our most valuable asset and our biggest ongoing challenge. As data grows in an exponential volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data are no longer sufficient. Unlike traditional databases, which arrange data in rows, columns and tables, Neo4j has a versatile graphy structure defined by stored relationships between data records, which enable us to conduct complex queries & transformations in real-time.
During the Webinar, we will:
- Discuss what a Graph Database is
- Go over major use cases and explore how the backend of Neo4j makes those use cases possible
- Look into the visualisation of graphs
- Introduce how simple it is to write queries and query the Neo4j Database