With Apache Hop and Neo4j, you can draw valuable insights into your data loading processes, identify where things went wrong, view the detailed logs, and perform root cause analyses using graph queries.

In this session, using Apache Hop as a data orchestration tool, we’ll show you how to use Hop to load data into Neo4j. Alternatively, we’ll show you how to use Neo4j to see how data is being loaded into Hop, by storing all the relevant lineage information into a graph.

Matt Casters
Chief Solutions Architect at Neo4j

Co-founder of Apache Hop and founder of Kettle. Working on building solution architectures for Neo4j projects.

Bart Maertens
Managing Partner at know.bi

Data geek, co-founder of Apache Hop and founder of know.bi. We help our customers to build solutions with best-in-breed technology.

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