---
title: "Graph Gurus 23: Best Practices To Model Your Data Using A Native Parallel Graph"
description: This webinar shares our graph modeling experience when solving real-world customer challenges with graph database. 
image: https://info.tigergraph.com/hubfs/Screen%20Shot%202019-10-30%20at%209.32.30%20AM.png
---

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# Graph Gurus 23: Best Practices to Model Your Data Using A Graph Database

#### **![](https://info.tigergraph.com/hs-fs/hubfs/Screen%20Shot%202019-10-30%20at%209.33.49%20AM.png?width=666&name=Screen%20Shot%202019-10-30%20at%209.33.49%20AM.png)**

#### ****Graph Gurus 23: Best Practices To Model Your Data Using A Graph Database****

#### **Wednesday, November 13, 2019**

Anyone about to create a graph database always begins by asking these questions: how do I design the schema and what are the best practices in using vertex and edge types to build a graph model?

A good graph schema design represents important relationships in a natural way, while also minimizing system resource consumption and enabling the best query performance. A schema should consider input data format and query use cases (workload).

This webinar shares our modeling experience when solving real-world customer challenges with  a graph database. We will cover a rich variety of best practices and show you:

- What can be vertices and edges 
- How to choose an edge type (undirected, directed, reversed)
- How to decide between attributes or vertices
- How to model temporal data
- How to model multiple events and/or /transactions between two entities
- How to use derived edges to speed up queries 

**Speaking: **

Xinyu Chang, Director of Solution Team

Victor Lee, Head of Product Strategy and Developer Relations

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