This past summer, Neo4j released its first set of graph algorithms designed to help organizations understand their graphs at a global level. This webinar will discuss the algorithms for community detection, centrality and path finding. These complement long-standing graph navigation and traversal functions of which Neo4j is known. This growing graph analytics library is sure to become a foundation in your data science and development work.
Mark Needham is a graph advocate and developer relations engineer for Neo Technology, the company behind the Neo4j graph database.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a
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.