Implement a metric store

When you define metrics in separate datasets, you may not remember whether a metric already exists and end up re-building it to answer a new business question.

To avoid that situation, you can use AML Extend to define metrics in a central place and and extend datasets to take on these metrics.

// In metrics.aml
// Define a Partial Type of Dataset which contains a group of metrics
PartialDataset revenue_metrics {
    metric gmv { ... }
    metric mrr { ... }
    metric arr { ... }
}

// In company.dataset.aml
Dataset company_with_revenue = company.extend(revenue_metrics)

// In store.dataset.aml
Dataset store_with_revenue = store.extend(revenue_metrics)

A Partial Type is useful for defining a group of properties to be re-used in multiple extensions.

Initializing an object with PartialDataset type allows you to specify a subset of properties in a dataset, whereas normally you'd have to specify all properties (label, data_source_name, etc).

Simialarly, you can also initialize an object with PartialModel to declare a group of dimensions which can be re-used in multiple extensions.