Book Image

Salesforce Lightning Platform Enterprise Architecture - Third Edition

By : Andrew Fawcett
Book Image

Salesforce Lightning Platform Enterprise Architecture - Third Edition

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)

Understanding Einstein Prediction Builder

For each prediction you set up with Prediction Builder, it scans a subset of records within a given Standard or Custom Object that you define. For each of those records, it reads a set of values from specific fields you provide (predictors). It then observes any correlations with the value of another field, which is known as the prediction field, also of your choosing.

After it has scanned the records, and when future records are created, it reviews the predictor field values and, using AI algorithms, outputs a prediction into a prediction result field. You can then use the predicted result field with an existing platform UI or reporting tools to display the prediction to the user (Process Builder rules or Apex Triggers are not supported). There are many AI algorithms available to perform this task, such as Random Forest...