Webinar: Transforming a Relational Model to a Graph Model
Modeling for relational databases is well understood. But often times the nicely modeled data has to be denormalized to reduce join costs and increase performance.
In a graph database, we can keep both: the well structured and normalized model and the performance. At the same time, we replace artficial join tables with semantic relationships which allow us to express our domain much better. In this webinar, we'll compare the relational and the graph data model, discuss the transformation from one to the other and the steps needed to apply this in practice. We'll also look into evolving a graph model to adapt to new requirements or better understanding of your domain.
Michael Hunger, Developer Relations, Neo4j
Michael Hunger has been passionate about software development for a very long time. For the last few years he has been working with Neo4j on the open source graph database. Working in many roles. As caretaker of the Neo4j community and ecosystem he especially loves to work with projects, users and contributors. As a developer Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles.
In a graph database, we can keep both: the well structured and normalized model and the performance. At the same time, we replace artficial join tables with semantic relationships which allow us to express our domain much better. In this webinar, we'll compare the relational and the graph data model, discuss the transformation from one to the other and the steps needed to apply this in practice. We'll also look into evolving a graph model to adapt to new requirements or better understanding of your domain.
Michael Hunger, Developer Relations, Neo4jMichael Hunger has been passionate about software development for a very long time. For the last few years he has been working with Neo4j on the open source graph database. Working in many roles. As caretaker of the Neo4j community and ecosystem he especially loves to work with projects, users and contributors. As a developer Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles.