If my previous post about the graph data structure has you eager to get started, then check out this video with Kirill Gavrylyuk. He talks Azure Cosmos DB and Graphs with Scott, exploring why we need graphs, and what we can be done with graphs on Azure Cosmos DB.

Azure Cosmos DB offers native graph gremlin API support in addition MongoDB, SQL, and others. Graphs in Azure Cosmos DB also enjoy the same global distribution, low latency, limitless throughput, and 99.99% SLAs as other APIs.

For more information, check out: Introduction to Azure Cosmos DB: Graph API

In this video posted by Coding Tech, Scott Hanselman delivers one of the best and personal demos — how a combined solution using technologies such as IoT devices, cloud platforms, and Machine Learning can come together to solve even the most complex problems.

From small mobile computers to vast data centers available at your command, it truly is a great time to be a developer.

Matthew Henderson does a demo for Scott Hanselman to show how simple it can be to build serverless apps that leverage bindings for Microsoft Graph (e.g., reading data from a Microsoft Excel spreadsheet in a OneDrive folder) to avoid writing laborious initialization and authentication code, all using Azure Functions.

For more information, check out the following links: