Neo4j is the leading graph database vendor. We’ve worked closely with Google Cloud engineering for years. Our products, AuraDB and AuraDS are offered as managed services on Google Cloud. Neo4j Enterprise Edition, which includes Graph Database, Graph Data Science and Bloom is offered in the Google Cloud Marketplace.
In this hands on lab, you’ll get to learn about Neo4j and Google Cloud Vertex AI. The lab is intended for data scientists and data engineers. We’ll walk through deploying Neo4j and Vertex AI in your own Google Cloud account. Then we’ll get hands on with a real world dataset, building a machine learning pipeline that takes advantage of features generated using Neo4j Graph Data Science to improve prediction in Vertex AI. You’ll come out of this lab with enough knowledge to apply graph feature engineering to your own datasets.
We’re going to analyze Healthcare Claims data. We’ll start with a Data Model and load that data from a Google Cloud Storage bucket into Neo4j.
Finally, we’ll use Neo4j Graph Data Science to create a graph embedding from our data, export that out, and run supervised learning algorithms in Vertex AI. We’ll try to predict what claims are fraudulent by learning the topology via embeddings.
These workshops are organized onsite in a Google office.
2 hours.
You'll need a laptop with a web browser. Your browser will need to be able to access the Google Cloud Console and port 7474 on a Neo4j deployment running on Google Cloud. If your laptop has a firewall you can't control on it, you may want to bring your personal laptop.
If you have a Google Cloud account with permissions that allow you to invoke Vertex AI, deploy from Marketplace and create a Cloud Storage bucket, then you can use that. If not, we'll walk you through creating a Google Cloud account.
- Introductions
- Lecture - Introduction to Neo4j (10 min)
- What is Neo4j?
- Customer use cases
- How is it deployed and managed on Google Cloud?
- Lab 0 - Signup for Google Cloud (15 min)
- Improving the Labs
- Signup for a Google Cloud Account
- Activate your Google Cloud account
- Lab 1 - Deploy Neo4j (15 min)
- Deploying Neo4j AuraDS Professional
- Break (10 min)
- Lecture - Moving Data (5 min)
- LOAD CSV
- Data pipelines on GCP
- Lab 2 - Vertex AI AutoML with GDS (10 min)
- Data Modelling
- Load Data Notebook
- Lecture - Graph Data Science (5 min)
- Why Graph Data Science
- Neo4j GDS
- Algorithm Families and Examples
- Lab 2 - Vertex AI AutoML with GDS (15 min)
- GDS Embedding Notebook
- Break (10 min)
- Lecture - Vertex AI (5 min)
- What is Vertex AI?
- Using Vertex AI with Neo4j
- Lab 2 - Vertex AI AutoML with GDS (10 min)
- AutoML with Vertex AI
- Lab 3 - Cleanup (5 min)
- Discussion - Questions and Next Steps (5 min)