During this webinar, we explore how Neo4j 4.0 delivers a whole new level of scalability in graph databases.
GraphAware discusses the powerful scalability of Neo4j 4.0 and uses it to analyze the COVID-19 Open Research Dataset.
The event features Chief Scientist at GraphAware and noted graph database author, Dr. Alessandro Negro, along with Patrick Wall, Director of Product Marketing at Neo4j.
Dr. Alessandro Negro is the Chief Scientist at GraphAware. He has been a long-time member of the graph community and he is the main author of the first-ever recommendation engine based on Neo4j. At GraphAware, he specialises in natural language processing, recommendation engines and graph-aided search. Before joining the team, Alessandro has gained over 10 years of experience in software development and has presented at many prominent conferences, such as JavaOne. Alessandro holds a Ph.D. in Computer Science from University of Salento. He is based in Southern Italy (lucky him!), but travels to clients around the world.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
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.