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 from a relational database into Neo4j using the ETL tool, and some basics of graph data modelling.

Michael Hunger
Head of Developer Relations, EMEA, Neo4j

Michael has been passionate about software development since his childhood days in East Germany. He is particularly interested in the people who develop software, software craftsmanship, programming languages, and improving code. While he likes coaching and in-project development as an independent consultant ("better software development evangelist" - http://jexp.de), he really enjoys the numerous other projects in his life.

Tim Ward
CEO, CluedIn

Tim has been spending the last 5 years of his career focussing on building large scale applications for the enterprise. With focus on scaling, performance, machine learning and databases, he brings with him over 10+ years of software experience. Being a Neo4j developer for the last 5-6 years of his career, he has a main focus on using database technologies like the graph to solve very complex and large scale problems. Originally from Australia, he now lives in Denmark with his wife and dog (that looks like Chewbacca).

Kelsey Bieri
Data Governance Analyst, ICC

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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