Hello Cloud Gurus,
Graph Databases like Amazon Neptune are incredibly powerful but relatively underappreciated. In this course, we will dive in to Neptune to see how and why it might be right for your Serverless applications. At the end of this course you will be able to spin up a Graph Database stack and a simple web application to leverage your graph data. We’ll achieve this with serverless framework and cloudformation, meaning you learn a lot more than just one AWS service in this course!
The app we build is also great fun and very practical. It’s a face categorisation app using family photographs (you can use your own if you like, or use the supplied images), leveraging data that we will generate from the Amazon Rekognition service. With this tool we might just be able to finally sort out those hundreds of thousands of family photos that we all have lying around. Now you can easily find all those photos of your Grand Aunt quickly and accurately!
In this course, you’ll learn:
- What graph databases are, and how they differ from other data storage and why/when to use them.
- How to set up and run an AWS Neptune instance.
- How to use the Gremlin and SPARQL query languages.
- How to bulk upload data into AWS Neptune.
- How to use Amazon Rekognition to analyze photos for faces.
- How to create a simple Node.js API and UI endpoint for interacting with your graph data in a web interface.
So what are you waiting for, Cloud Gurus! If you work in a software development team, you are a tech manager or a business person who is technically minded, join me in this course to discover what graph databases are and what they can do for you and your serverless project.