📁 Folder Tree
- 📁 Go Serverless with a Graph Database
- 📂 CHAPTER 01 Introduction and Overview of Graph Data Theory
- 📂 01-01 Welcome
- 📂 01-02 Course Overview
- 📂 01-03 Graph Databases and the Face Categorising Project
- 📂 01-04 Amazon Neptune 10,000 Feet View
- 📂 01-05 Amazon Neptune Graph Models
- 📂 01-06 Property Graph Model
- 📂 01-07 Resource Description Framework (RDF) Graph Model
- 📂 01-08 Demo Getting Set Up for this Course
- 📂 CHAPTER 02 Playing with Amazon Neptune Query Languages
- 📂 02-01 Chapter Introduction
- 📂 02-02 Apache Tinkerpop and the Console
- 📂 02-03 Introducing the Gremlin Query Language
- 📂 02-04 Demo Using the Apache Tinkerpop Console
- 📂 02-05 An Alternate Query Language - SPARQL
- 📂 CHAPTER 03 Setting Up an App that will Interact with Neptune
- 📂 03-01 Chapter Introduction
- 📂 03-02 Understanding the Neptune and API Stacks
- 📂 03-03 Understanding the Neptune CloudFormation
- 📂 03-04 Understanding the API CloudFormation
- 📂 03-05 Demo Spin Up the Neptune Stack
- 📂 03-06 Demo Spin Up the API Stack
- 📂 03-07 Cleaning Up to Save $$$
- 📂 03-08 Demo Removing the Stacks
- 📂 CHAPTER 04 Creating a Useful Dataset
- 📂 04-01 Chapter Introduction
- 📂 04-02 Creating Graph Data with Rekognition
- 📂 04-03 Understanding the Rekognition Stack
- 📂 04-04 Demo Creating Graph Data from Rekognition
- 📂 04-05 Updates to the Neptune and API Stacks for Loading Data
- 📂 04-06 Demo Loading Data into Neptune
- 📂 04-07 Rekognition Data that Suits RDF
- 📂 CHAPTER 05 Working with our Data via the App
- 📂 05-01 Neptune Web UI Overview
- 📂 05-02 Demo Modifying the Query Lambda
- 📂 05-03 Demo Running the Neptune Web UI
- 📂 CHAPTER 06 Conclusion
- 📂 06-01 Building on our Serverless Graph Database Solution
- 📂 06-02 Thank You and Goodbye