DataWeave is a functional programming language designed for transforming data. It is MuleSoft’s primary language for data transformation, as well as the expression language used to configure components and connectors. However, DataWeave is also available in other contexts, like as a command-line tool. These tutorials will largely treat DataWeave as a standalone language, with Mule-specific information.
DataWeave allows users to easily perform a common use case for integration developers: read and parse data from one format, transform it, and write it out in a different format. It could take in XML and write the data out to a flat-file format. DataWeave allows the developer to focus on the transformation logic instead of worrying about the specifics of reading, parsing, and writing specific data formats in a performant way.
Associate Solution Architect
Laksh Nanda is an Integration developer with 3+ years of experience in designing and developing enterprise applications using MuleSoft. Additional experience in Core Java, Firebase, and Web development. Nanda has expertise in integration with Salesforce, AWS, and Anypoint MQ. He has experience in Mule 3.8.x to Mule 4.4.x, developing secure, scalable and robust applications by leveraging security, modules, API-Led Connectivity and MUnits with good code coverage.
Sagar Yadav has 5+ years of experience with the implementation of enterprise application integration solutions using MuleSoft. He is working as an Associate Solution Consultant with Caelius Consulting. Yadav is an experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Linux, Core Java, Mule ESB, Neo4j, and Drools. Strong engineering professional with a PG Diploma focused in Development in Advanced Computing from Centre for Development of Advanced Computing.