Review and apply DataWeave fundamentals as learned in the Development Fundamentals course

Set example input for DataWeave results in Anypoint Studio

Chain together two argument functions by using infix notation

Filter, order, and group elements of an object or array

Retype DataWeave expressions in the middle of code execution

Organize DataWeave code into variables and functions

Enclose variables and functions in do statement scopes

Pass functions and lambda expressions as arguments to other DataWeave functions

Create and use reusable DataWeave modules

Write more defensive DataWeave expressions that filter and route data based upon conditions

Write more robust functions using a match operator to test for data types

Handle and raise errors

Log from inside DataWeave expressions

Add components to and remove elements from arrays and objects

Construct objects from lists of DataWeave expressions by using object constructor curly braces { }

Troubleshoot common issues when using object constructor curly braces { }

Combine objects and arrays into nested data structures by using map and mapObject functions

Extract an array of keys and/or values from an object by using the pluck function

Extract an array of keys and/or values from an object by using the DataWeave core Arrays module functions

Conditionally join together two nested schema by using the join function

Conditionally update and mask parts of nested data structures

Format and update nested data structures by using recursive functions

Conditionally test, count, and sum up elements of an array by using the DataWeave core Arrays module

Reduce and accumulate array elements to other output types by using the reduce function

Calculate key performance indicators from input collections by using the reduce function