Which approach is most effective for parsing semi-structured data like JSON or XML files in Foundry?

The most effective approach for parsing semi-structured data such as JSON or XML files in Foundry is to leverage custom Python or Java code within the transform to handle parsing. This method allows for precise control over the parsing process, enabling the application of complex logic or custom transformations that built-in parsers may not accommodate.

Custom code permits the use of specific libraries and tools designed for handling semi-structured formats, ensuring that the data is accurately interpreted and manipulated according to the requirements of the use case. For instance, Python has powerful libraries like json and xml.etree.ElementTree that facilitate the efficient parsing and processing of JSON and XML data. By utilizing such capabilities, data engineers can extract relevant information, transform it as needed, and then load it into a data model in a structured way.

This approach also adds flexibility; as the data or requirements evolve, modifications can be made directly in the custom code without being constrained by the limitations of built-in functions. Overall, this leads to a more maintainable and adaptable data processing workflow within Foundry.