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Leverage the power of graph databases for your next serverless project
About The Course
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!
This is a beginner to intermediate-level course. We will be writing a bit of code and setting up (and removing) quite a lot of infrastructure in AWS. Prior coding experience is nice to have. The course will definitely be easier to follow if you have a bit of an understanding of JavaScript (Node) and CloudFormation. For those who don’t have this experience, don’t worry – at key points in the course when we write code or modify CloudFormation templates, we will point out relevant chapters in other A Cloud Guru courses that will help you learn these areas in more detail.
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.
EXPECTED OUTCOMES
- You will be able to identify use cases where graph data is an appropriate data storage solution
- You will be able to demonstrate and understanding of how to work with graph data using popular query languages
- You will be able to demonstrate a familiarity with why complex AWS infrastructure is often needed, particularly with secure managed services like Neptune.
- You will be able to create an API and user interface to make graph data analysis accessible to you and your stakeholders.
- Developers wanting to orient themselves around the cloud application development landscape.
- Technical managers whose teams are moving to cloud technology.
- Those involved with technical teams, including quality assurance, operations, production management and project management.
- An AWS account
- Around 100 to 200 family photos, where similar people appear in many photos (Optional, a sample set with be provided)
Hi I’m Steve. I’ve had pretty much any job possible to do with creating software products, but have finally settled down as a manager so I can sneakily continue to get involved in everything and anything. More recently I have taken to exploring in AWS in my spare time (primarily through my open source photo archive project – fotopia: mbudm/fotopia-serverless). I find projects are the best way to really deep dive into all the new cloud toys that I then apply to client projects in my day job.
Having lived through the dark days of software development where we FTP’d things to servers in the broom closet and version control was optional I’m amazed and excited at how powerful and relatively idiot proof the technologies of today have become.
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