-External datasets used to populate an Azure Cognitive Search index can come in many shapes. Sometimes they include hierarchical or nested substructures. Examples might include multiple addresses for a single customer, multiple colors and sizes for a single SKU, multiple authors of a single book, and so on. In modeling terms, you might see these structures referred to as *complex*, *compound*, *composite*, or *aggregate* data types. The term Azure Cognitive Search uses for this concept is **complex type**. In Azure Cognitive Cognitive Search, complex types are modeled using **complex fields**. A complex field is a field that contains children (sub-fields) which can be of any data type, including other complex types. This works in a similar way as structured data types in a programming language.
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