Which of the following file formats is recommended to store unstructured data within a dataset in Foundry?

JSON is recommended for storing unstructured data within a dataset in Foundry due to its ability to effectively handle a wide range of data formats and structures. JSON (JavaScript Object Notation) is particularly useful for unstructured data because it allows for a flexible schema, meaning that the data can easily accommodate varying attributes and types without the need for predefined structures. This flexibility is essential when dealing with unstructured data, which often does not conform to traditional tabular formats.

In addition, JSON provides a human-readable format that makes it easy to understand and debug. Its semi-structured nature allows for nested data structures, which are common in unstructured datasets, facilitating the organization of complex data. This makes it a popular choice in data engineering and analytics contexts where unstructured data needs to be processed and analyzed efficiently.

Furthermore, JSON integrates well with many modern data processing frameworks and tools, allowing for seamless ingestion and manipulation of data within Foundry. This compatibility is an important factor when determining the best format for storing unstructured data in that environment.