What is DataWeave primarily used for?

DataWeave is primarily designed for transforming and manipulating data. It serves as a powerful data transformation language within the MuleSoft ecosystem, allowing developers to easily perform complex data transformations and mappings between different formats. For instance, it can convert data from XML to JSON, aggregate data, filter records, and even enrich data sets by combining data from multiple sources.

Given its role, DataWeave excels in scenarios where data needs to be restructured or modified to meet the requirements of services or applications. Its capability to handle data in an expressive and concise manner is what makes it essential for data integration tasks commonly encountered in API development and data processing workflows.

While data visualization, API endpoint management, and security configuration are crucial aspects of application development and integration, these tasks fall outside the primary focus of DataWeave, which is specifically tailored for data transformation.