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Salesforce Lightning Platform Enterprise Architecture

Salesforce Lightning Platform Enterprise Architecture - Third Edition

By : Andrew Fawcett
4.4 (5)
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Salesforce Lightning Platform Enterprise Architecture

Salesforce Lightning Platform Enterprise Architecture

4.4 (5)
By: Andrew Fawcett

Overview of this book

Salesforce Lightning provides a secure and scalable platform to build, deploy, customize, and upgrade applications. This book will take you through the architecture of building an application on the Lightning platform to help you understand its features and best practices, and ensure that your app keeps up with your customers’ increasing needs as well as the innovations on the platform. This book guides you in working with the popular aPaaS offering from Salesforce, the Lightning Platform. You’ll see how to build and ship enterprise-grade apps that not only leverage the platform's many productivity features, but also prepare your app to harness its extensibility and customization capabilities. You'll even get to grips with advanced application architectural design patterns such as Separation of Concerns, Unit Testing and Dependency Integration. You will learn to use Apex and JavaScript with Lightning Web Components, Platform Events, among others, with the help of a sample app illustrating patterns that will ensure your own applications endure and evolve with the platform. Finally, you will become familiar with using Salesforce DX to develop, publish, and monitor a sample app and experience standard application life cycle processes along with tools such as Jenkins to implement CI/CD. By the end of this book, you will have learned how to develop effective business apps and be ready to explore innovative ways to meet customer demands.
Table of Contents (17 chapters)
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Summary

Salesforce has done a great job of providing a varied range of features and services to suit different needs, both for your customers directly and/or you as a package developer.

In general, Einstein Prediction Builder and Einstein Discovery (part of Einstein Analytics) are intended for your customers to implement with the data contained in your packaged Custom Objects that is accumulated during the use of your application over time. However, through this chapter, and as a result of exploring these features further, it allows you to consider what packaged fields you can add to your objects to better facilitate configuring each of these features and tools. This will reduce the effort required for customers to AI-enable your application.

If you want to deliver more AI capabilities without the customer performing configuration, you can also choose to embed AI directly...

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