Book Image

Salesforce Platform Enterprise Architecture - Fourth Edition

By : Andrew Fawcett
Book Image

Salesforce Platform Enterprise Architecture - Fourth Edition

By: Andrew Fawcett

Overview of this book

Salesforce makes architecting enterprise grade applications easy and secure – but you'll need guidance to leverage its full capabilities and deliver top-notch products for your customers. This fourth edition brings practical guidance to the table, taking you on a journey through building and shipping enterprise-grade apps. This guide will teach you advanced application architectural design patterns such as separation of concerns, unit testing, and dependency injection. You'll also get to grips with Apex and fflib, create scalable services with Java, Node.js, and other languages using Salesforce Functions and Heroku, and find new ways to test Lightning UIs. These key topics, alongside a new chapter on exploring asynchronous processing features, are unique to this edition. You'll also benefit from an extensive case study based on how the Salesforce Platform delivers solutions. By the end of this Salesforce book, whether you are looking to publish the next amazing application on AppExchange or build packaged applications for your organization, you will be prepared with the latest innovations on the platform.
Table of Contents (23 chapters)
1
Part I: Key Concepts for Application Development
6
Part II: Backend Logic Patterns
11
Part III: Developing the Frontend
14
Part IV: Extending, Scaling, and Testing an Application
21
Other Books You May Enjoy
22
Index

Creating an object for race data

Throughout this chapter, we are going to use the RaceData__c Custom Object. We will be extending it with additional fields and running a script to populate it with some test volume data, before exploring the different ways of accessing it and processing the data held within it.

In the Formula 1 racing world, a huge amount of data is captured from the drivers and the cars during the race. This information is used to perform real-time or post-race analysis in order to lead to further improvements or troubleshoot issues. Because of the huge volumes of data involved, the FormulaForce application considers ways to summarize this data such that it can be accessed quickly during races. It is also important to retain this data in the form of an archive for future analysis after races have completed. To do this, we will use a new type of object called a Big Object, and, later in this chapter, we will also discuss the RaceLapHistory__b object.

Meanwhile...