String: A sequence of characters, e.g. “Hello world”, “123 Main Street” or any sentence.

Number: Numeric values, such as 42, -100, 3.14 or -9.81.

Boolean: Boolean values, e.g. True or False, often used to represent “yes/no” options or “on/off” status.

Date: Represents a calendar date and sometimes time, often including year, month and day.

Record: A collection of data fields of potentially different types. A structure containing various information under named properties. E.g., a user record with the properties “name” (string), “age” (number) or “active” (logical value).

Nullable (null allowed value): a nullable field means that the field can accept either valid data values or a special null value, which represents the absence of data. This means that a nullable field can be empty or contain null explicitly.

Required (required value): The required field, in turn, dictates that the field must always contain a valid data value. It cannot be left blank or set to null. This ensures that the necessary information is always present and complete in the dataset.

Array: An array type field represents a collection of multiple values of the same data type. It acts as a container for a sequence of elements, each of which corresponds to a specific data type. Arrays are often used to store lists, sequences or sets of related data.