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Salesforce Data Architecture and Management

You're reading from  Salesforce Data Architecture and Management

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Pages 376 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ahsan Zafar Ahsan Zafar
Profile icon Ahsan Zafar
Toc

Table of Contents (14) Chapters close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities 3. Chapter 2: Understanding Salesforce Objects and Data Modeling 4. Chapter 3: Understanding Data Management 5. Section 2: Salesforce Data Governance and Master Data Management
6. Chapter 4: Making Sense of Master Data Management 7. Chapter 5: Implementing Data Governance 8. Chapter 6: Managing Performance 9. Section 3: Large Data Volumes (LDVs) and Data Migrations
10. Chapter 7: Working with Large Volumes of Data 11. Chapter 8: Best Practices for General Data Migration 12. Assessments 13. Other Books You May Enjoy

Understanding APIs

A salient feature of Salesforce is that it takes an API-first approach. What that means is that Salesforce internal teams focus on building a rich set of functionalities into the API before designing and developing the user interface. The reason this is important is that it gives Salesforce customers the flexibility in using a custom-developed user interface should they desire. This is pretty common in Salesforce Experience Cloud where some customers tend to use the standard templates provided by Salesforce to provide a self-service experience to their customers and partners, whereas others build entirely custom frontends that are powered by Salesforce user interfaces.

Salesforce provides a variety of APIs meant for different purposes, such as manipulating page layouts, deploying code, querying Einstein Analytics data, or general-purpose APIs that are used to manipulate data. In this section, we will discuss the four main APIs that pertain to data manipulation...

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