In this short tutorial we’ll see how to set up an Ensign project.
A project is a collection of datasets that are related by use case. So think about the data project you’re going to be working on, what is the problem you want to solve with that data?
Let’s say we want to train a machine learning model to forecast changes in the travel industry. We’ll probably need a few different kinds of data - maybe realtime updates about flights, hotels, weather, and the stock market.
Next we want to name our project - this should be something that is semantically related our datasets and our goal. Let’s call this one "Tourism Forecast". We can also add a description, though this step is optional.