Learn Moose

By the end of this tutorial you will have a solid grasp of the Moose framework and you will have built an end-to-end data and analytics service which gives you real-time insights into the users who star your Github repository. Here’s a high level diagram of what you will build:

In Typescript (or Python!) you declare your application logic in four primitives — Data Models, Function, Blocks and Consumption APIs — and Moose automatically creates the assets in your underlying infrastructure.

What You'll Build

In this tutorial, you will:

1. Create a new Moose project from scratch and define your first Moose primitive (a Data Model) to start ingesting sample data within minutes.
2. Configure GitHub to send live webhook notifications to your Moose application whenever someone stars your repository.
3. Implement a Moose Streaming Function to filter and enrich the raw webhook event data as it’s ingested.
4. Use Moose Blocks to create a view of the processed event data for further analysis.
5. Build Consumption APIs to surface insights about the programming languages the starrers use in their repositories.
6. Access and analyze these insights via an API Client.