Book Image

MuleSoft for Salesforce Developers

By : Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant
Book Image

MuleSoft for Salesforce Developers

By: Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant

Overview of this book

MuleSoft for Salesforce Developers will help you build state-of-the-art enterprise solutions with flexible and scalable integration capabilities using MuleSoft’s Anypoint Platform and Anypoint Studio. If you’re a Salesforce developer looking to get started with this useful tool, look no further. This book will get you up to speed in no time, leveling up your integration developer skills. This essential guide will first introduce you to the fundamentals of MuleSoft and API-led connectivity, before walking you through the API life cycle and the Anypoint Studio IDE. Once you have the IDE set up, you’ll be ready to create Mule applications. You’ll look at the core components of MuleSoft and Anypoint Platform, and before long you’ll know how to build, transform, secure, test, and deploy applications using the wide range of components available to you. Finally, you’ll learn about using connectors to integrate MuleSoft with Salesforce and to fulfill a number of use cases, which will be covered in depth, along with interview and certification tips. By the end of this book, you will be confident building MuleSoft integrations at an enterprise scale and be able to gain the fundamental MuleSoft certification – MCD.
Table of Contents (21 chapters)
1
Part 1:Getting Started with MuleSoft
7
Part 2: A Deep Dive into MuleSoft
14
Part 3: Integration with Salesforce and Other Connectors

Summary

In this chapter, we learned that DataWeave is a functional programming language and that a script has two sections: the header and the body. In the header, we keep global variables or functions, and additional directives to specify input, output, DataWeave version, and other information. In the body, we write the code that will be executed.

We learned two different ways to add comments to your code: on a single line (with //) or on multiple lines (with /*…*…*/).

There are simple, composite, and complex data types. However, we listed only the simple (String, Boolean, Number, Regex, Null, Date, and Time-related) and composite (Array, Object) ones to understand the basic or most used types.

We listed some of the most popular data formats, such as CSV, DW, Java, JSON, and XML, to get a better understanding of what these formats look like and how are they used in DataWeave to transform data.

We learned about several operators and their categories: mathematical...