Datasets are the collections of data that an API provides access to or allows manipulation of. An API might offer endpoints to retrieve entire datasets, specific records within a dataset, or perform operations like adding, updating, or deleting data in a dataset.
Schema types define the structure and data types of the data within those datasets. This is crucial for ensuring data consistency and enabling proper interaction with the API. APIs often use schema definitions (like JSON Schema or OpenAPI Specification) to describe:
- Data types: Specifies whether a field is a string, number, boolean, array, object, etc.
- Field names and properties: Defines the names of data fields and any associated constraints, for example, minimum length or if a field is required.
- Relationships: Describes how different parts of the data relate to each other.
By including both datasets and schema types in an API, developers can understand how to interact with the data, what format to expect, and how to structure their requests.