Dimensional Data Modeling: Graph Data Modeling Day 3 Lecture

Welcome to dimensional data modeling day 3 lecture. Today we're talking about graph data modeling. Graph data modeling is significantly different than dimensional or relational data modeling in the fact that it is more relationship focused and less entity focused. So if you're looking at how things are connected, that is going to be where graph data modeling truly shines, but it comes with a trade-off where you don't really have as much of a Schema around the properties. So the schema in most of the graph data modeling is very flexible. It just has like a vertex and properties or an edge and properties. The schemas are very, very flimsy and flexible. And so I worked a lot with graph data modeling when I worked at Netflix, we built graphs that had 7080 different types of things in them so that we can understand how everything. is connected and you might end up ultimately loading the stuff into like a graph database. But in today's lecture we're going to be talking about just the data layer and how to build a data agnostic graph data model, and I hope you enjoy the lecture today. And if you want to learn more about how to build graph data models in the cloud with hot technologies like Iceberg and Trino, definitely check out the data expert Academy in the description below. OK, so today we're gonna be talking about a couple of things here.