Functional Programming with DataWeave

Learn Mulesoft DataWeave functional programming language. Write transformations using functions, variables, & operators

What you'll learn
Learn DataWeave (DW) functional programming language
Understand examples of DataWeave use-cases
Learn DW operators, variables, conditions, functions
Understand DW selectors and multi selectors
Learn DW flow control and pattern matching
Deep-dive into Map and Map Objects
Learn to build generalized and reusable transformations with DataWeave
Understand how to write transformation logic using Mule DataWeave
Apply useful Core, String, Array, Object, and Runtime module functions
Write reusable custom mappings and custom modules
Advanced concepts with XML/JSON/CSV transformations
Design data organization architecture using DataWeave

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to the Functional Programming with DataWeave course by Uplatz.

DataWeave is one of the easy-to-use and efficient functional programming languages. DataWeave provides features and functionality for transforming data. DataWeave also serves as an expression language to configure components and connectors. In DataWeave there are multiple modules that can be imported and applied and can perform a huge variety of operations such as string manipulation, URL encoding, date formatting, etc. DataWeave facilitates performing use cases where data needs to be read and parsed, to be formatted and transformed, finally to be sent as an output in an entirely different format. Examples include transforming CSVs into JSONs, XML into JSON or CSV, and the like. The beauty of DataWeave functional programming is that the developers can actually focus on building the transformation logic rather than devoting time on syntax, formats and parsing efforts.

What is Functional Programming?

Functional Programming is essentially the process of building software by composing pure functions, avoiding shared state, mutable data, and side-effects. Functional programming is declarative rather than imperative, and application state flows through pure functions. Functional programming is based on mathematical functions. A few of the popular functional programming languages include: DataWeave, Lisp, Python (not in strict sense), Erlang, Haskell, Clojure, etc.

DataWeave - Course Syllabus

DATAWEAVE (DW) INTRODUCTION

EXAMPLES OF DATAWEAVE

DW OPERATORS

MERGE FIELD FROM DIFFERENT OBJECT OPERATORS AND UPDATE OPERATOR

DW VARIABLES CONDITIONS AND FUNTIONSVARS

FLOW CONTROL

DW PATTERN MATCHING

DW FUNCTIONS

MAP-AND-PLUCK-OPERATOR

MAP-AND-MAPOBJECT

FLATTEN FUNCTION

PLUCK OPERATOR

DW SELECTORS

JOINBY AND SPLITBY

DATAWEAVE FUNCTION CHEAT SHEET

DATAWEAVE OPERATORS

TYPES OF ERRORS AND ESC CHARACTERS

++ on DATES

DATAWEAVE BASIC TRANSFORMATION

DW DATA TYPES

SINGLE MULTI SELECTORS EXAMPLE

DW FILTER OPERATOR

ATTRIBUTE AND DESCENDANT SELECTOR

REDUCE AND ORDERBY FUNCTIONS

LOGICAL AND APPEND AND PREPEND OPERATORS

INDEXOF, KEYSOF, MINBY, MAXBY, REPLACE IN DW

SPLITAT, SPLITWHERE, TAKEWHILE, SUMOF

GEOMETRIC AND TIME OPERATIONS

GLOBAL VARIABLES AND DW FUNCTIONS

FUNCTIONS OVERLOADING AND LAMBDA EXPRESSIONS

HANDLING TRANSFORMATIONS IN DW

DEFAULT VALUES IN DATAWEAVE

RENAME JSON KEYS

TRANSFORM NESTED STRUCTURES TO FLAT

DATA ORGANIZATION USING DATAWEAVE

Who this course is for
Mulesoft Developers
Software Engineers
Mule Engineers
Anyone interested in Functional Programming
Beginners & newbies aspiring for a career in software engineering & product development
Platform Architects
Data Architects
Data Engineers
Mule 4 Developers/Architects
Application Developers