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Salesforce B2C Solution Architect's Handbook

You're reading from   Salesforce B2C Solution Architect's Handbook Leverage Salesforce to create scalable and cohesive business-to-consumer experiences

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781804619902
Length 464 pages
Edition 2nd Edition
Languages
Concepts
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Authors (2):
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Melissa Murphy Melissa Murphy
Author Profile Icon Melissa Murphy
Melissa Murphy
Mike King Mike King
Author Profile Icon Mike King
Mike King
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Table of Contents (22) Chapters Close

Preface 1. Part 1:Customer 360 Component Products
2. Chapter 1: De-Mystifying Salesforce FREE CHAPTER 3. Chapter 2: Supporting Your Customers with Service Cloud 4. Chapter 3: Direct-to-Consumer Selling with B2C Commerce 5. Chapter 4: Engaging Customers with Marketing Cloud 6. Chapter 5: Know Your Customer with Data Cloud (DC) 7. Chapter 6: Salesforce Ecosystem – Building a Complete Solution 8. Part 2: Architecture of Customer 360 Solutions
9. Chapter 7: Role of a Solution Architect 10. Chapter 8: Integration Architecture Options 11. Chapter 9: Creating a 360° View of the Customer 12. Chapter 10: Customizing for Common Business Needs 13. Chapter 11: Enterprise Integration Strategies 14. Part 3: Salesforce Certified B2C Solution Architect
15. Chapter 12: Exam Preparation Tools and Techniques 16. Chapter 13: Prerequisite Certifications 17. Chapter 14: Commerce and Integration 18. Chapter 15: Certification Scenarios 19. Assessments 20. Index 21. Other Books You May Enjoy

Data Cloud data model

Now that we’ve had a chance to review some Data Cloud-specific terms, let’s review the Data Cloud data model. The Data Cloud data model can be confusing to B2C architects because it contains several similar concepts to the Lighting Platform and Marketing Cloud Engagement data models; however, the features and functions of the model and mapping vary across platforms.

Let’s break down the relevant data types for objects and fields in Data Cloud, and then jump into the underlying data flow across objects in the platform. In this section, you’ll learn how to navigate the Data Cloud platform and understand how data flows and mappings drive other capabilities within the tool.

Data object and field types

Data Cloud ingests source data into data streams of one of three categories: Profile, Engagement, and Other. The data type of a data stream determines what category type of DMO a data stream and/or DLO will be able to map to. For...

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