Anypoint Platform Development: DataWeave (Mule 3)

Summary

This course is for developers interested in advancing their DataWeave 1.0 skills beyond those taught in the Anypoint Platform Development - Fundamentals (Mule 3) course.

Get a datasheet for the course here.

Note: For the Mule 4 / DataWeave 2.0 version of the course, go here.

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

Write generalized and reusable transformations using functions, variables, and operators
Build complex transformations from smaller testable steps
Transform, combine, and reduce complex data structures which include nested arrays, objects, and arrays of objects
Recursively apply formatting rules to every element of a nested schema

Mule 3 developers or architects who want to advance their DataWeave 1.0 skills so that they can build complex transformations

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

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)
JDK 1.8
Anypoint Studio 6.4 or later with embedded Mule 3.9 runtime or later
Postman REST client (or any other REST client application)

Get a detailed setup document here.

Module 1: Organizing and formatting DataWeave code	Review DataWeave fundamentals Match DataWeave types and conditions Organize and reuse DataWeave code with variables and functions
Module 2: Constructing arrays and objects with DataWeave	Add components to and remove elements from arrays and objects Construct objects from lists of DataWeeave expressions using object constructor curly braces Troubleshoot common issues when using object constructor curly braces Join data together using map operators
Module 3: Iteratively transforming data using mapping operators	Transform elements of arrays and objects into a new array using the map operator Transform elements of objects into a new object using the mapObject operator Combine map and mapObject operators to transform complex schema
Module 4: Recursively transforming complex schema	Write recursive functions to transform complex schema Combine match and mapping operators to recursively transform every element of a complex schema