Anypoint Platform Development: DataWeave (Mule 4)

Summary

This course is for developers interested in advancing their DataWeave 2.0 skills beyond those taught in the Anypoint Platform Development - Fundamentals (Mule 4) course.

Get a datasheet for the course here.

Note: For the Mule 3 / DataWeave 1.0 version of the course, go here.

Objectives

At the end of this course, students should be able to:

• Write generalized and reusable transformations using variables, functions, DataWeave modules and mappings, and dynamic evaluation components.
• Build complex transformations from smaller testable steps.
• Build more robust and testable functions and expressions using strong typing, match operators, error handling, and logging.
• Create, transform, filter, combine, shuffle, select from, and reduce complex data structures that include nested arrays, objects, and arrays of objects.
• Recursively replace or format every element or a list of elements in a nested schema.

Audience

Mule 4 developers or architects who want to advance their DataWeave 2 skills so that they can build complex transformations

Prerequisites

• Experience developing Mule 4 applications as demonstrated by one of the following:
• Passing the MuleSoft Certified Developer - Level 1 (Mule 4) exam
• Completion of the Anypoint Platform Development: Fundamentals (Mule 4) course
• Completion of the Anypoint Platform Development: Mule 4 for Mule 3 Users course
• A basic knowledge of functional programming
Note: If you are new to functional programming, read An introduction to functional programming in JavaScript.

Setup requirements

• A computer with at least 8-16 GB available RAM (16 highly recommended), 2GHz CPU, and 10GB available storage
• Internet access to port 80 (with > 5Mbps download and > 2Mbps upload)
• Anypoint Studio 7.11.0 or later with embedded Mule runtime
• Advanced REST Client (or any other REST client application)

Get a detailed setup document here.