This on-demand webinar covers how to work with a real-world dataset in Neo4j, with a focus on how to build a graph from an existing dataset. We explore how to performantly import the data into Neo4j - both in the case of an initial import and scaling writes for your graph application. We demonstrate different approaches for data import (neo4j-import, LOAD CSV, and using the official Neo4j drivers), and discuss when it makes to use each import technique.

A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL. Watch this on-demand webinar to learn why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.

Kees Vegter
Neo4j Field Engineer

Kees is a Neo4j Field Engineer based out of Amsterdam. He’s been with the Neo4j team for 3 years working with high profile clients in many different industries. Kees has an extensive background in pre-sales, consulting, and development roles with significant experience in Java and multiple database technologies.

Nav Mathur
Senior Director - Global Solutions, Neo4j

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Richard Sheppard
Director of Sales, Blair Technology Solutions

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