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.
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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