
Explore MuleSoft DataWeave 2.0 through a practical, hands-on overview of basic constructs, system module functions, and mapping creation, including invoking Java methods and CSP transformations for digital transformation projects.
Explore DataWeave 2.0, a Mule runtime-driven language for transforming data with imports, variables, functions, and modules, using selectors and lambda expressions to navigate arrays and objects.
Learn to use selectors for complex object and array transformations in DataWeave, including equals, match cases, star, two dots, ampersand, index, at attribute, dot hash, and question mark existence.
Explore module functions in DataWeave 2.0, focusing on +, ++, -, -- with arrays and objects. Learn how arrays gain elements, objects merge properties, and how contains and daysBetween behave.
Explore core dataweave techniques with filter and filter object, using dollar, $$, and $$$ to navigate current records, indexes, and object properties, including year greater than 2014.
Explore MuleSoft DataWeave 2.0 object and runtime module functions, including keySet, valueSet, mergeWith, and try/fail, with practical examples of handling attributes and errors.
Learn how to invoke Java static and instance methods from DataWeave, including importing classes, creating Java objects, and converting results to json within a Mule flow.
Discover how to remove null properties, elements, and attributes in DataWeave output transformations, including wrapping values in new elements and adding attributes.
Explore changing the output transformation target from payload to a variable in MuleSoft DataWeave 2.0, moving expressions to an external file for cleaner configuration.
Thank you for enrolling in the course. Hope it helped you move a step ahead in your career. All the very best in your future endeavors!!!
Course Overview
In this course, you will learn DataWeave 2.0, MuleSoft’s expression language for advanced data transformation and data integration. The course has been designed with all target level learners in mind, so we will start with the basic constructs and write our first DataWeave program. We will then learn how to work with selectors to traverse through complex arrays and objects. With a practical application of DataWeave module functions like map, mapObject, filter, filterObject and reduce, we will now be ready to get in more advanced topics like writing our own mappings and modules, calling Java methods from DataWeave, handling exceptions and retrying on failures etc. We will also work between XML/JSON/CSV transformations so you will get a sense of various formats and functions available in DataWeave to handle these different formats.
Requirements
Basic knowledge of any programming language and some exposure to AnyPoint Platform are a plus. But Just a ready to learn attitude will also be enough to get the most out of this course.
Course Highlights
1. Learn advanced DataWeave 2.0 skills for a successful enterprise data transformation and data integration career using AnyPoint Platform.
2. Apply useful Core, String, Array, Object, and Runtime module functions.
3. Map, MapObject for working effectively with complex array and object structures.
4. Using recursion and tail recursion concepts for robust transformations.
5. Write reusable custom mappings and custom modules.
6. Import input metadata, create custom Java Output metadata model and perform input/output mapping via the UI.
7. Read and parse XML/JSON content as a string, from a classpath resource file or http endpoint.
8. Write reusable Java static and instance methods for advanced DataWeave transformations.
9. Advanced exception handling including nested retry on exception and standardized error model to consumer.
10. Advanced concepts with XML/JSON/CSV transformations.