Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work.
Unlike traditional databases, which arrange data in rows, columns and tables, Neo4j has a flexible structure defined by stored relationships between data records.
- We'll discuss the primary use cases for graph databases
- Explore the properties of Neo4j that make those use cases possible
- Look into the visualisation of graphs
- Introduce how to write queries.
Anthony has been involved in with database technology for longer than he cares to admit, having spent time in sales at Oracle, HP, MySQL, Couchbase and Versant. He believes that Neo4j is really something new, allowing organisations to exploit the value of their data and data relationships in a way that has never been possible before.
In his shadowy past, Anthony was a developer, working in the UK, the US and Australia but these days he is very happy to be back living in London, the greatest city in the World.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.
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