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  • Book Overview & Buying Salesforce Platform Enterprise Architecture
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Salesforce Platform Enterprise Architecture

Salesforce Platform Enterprise Architecture - Fourth Edition

By : Andrew Fawcett
4.7 (41)
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Salesforce Platform Enterprise Architecture

Salesforce Platform Enterprise Architecture

4.7 (41)
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)
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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

Understanding Einstein Discovery

Einstein Discovery uses AI algorithms to make observations (or insights) about the datasets loaded into CRM Analytics. To get started, you define a story that begins by asking a simple question—What is it you want to maximize or minimize?—because there can be many ways to achieve this goal. Einstein Discovery is different from Einstein Prediction Builder, which only gives one prediction and does not explain why it has reached its conclusion.

As with Einstein Prediction Builder, you start by choosing a single field that is the sole focus of your goal; this is known as the outcome measure field. This has to be a numeric field, for example, the Amount field on the Opportunity object. The question behind your goal would then be—How do I increase the size of my opportunities? Next, you select influencer fields—basically, field values that can influence in the real world the value of your outcome measure field. For example...

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Salesforce Platform Enterprise Architecture
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