Book Image

Salesforce Data Architecture and Management

By : Ahsan Zafar
Book Image

Salesforce Data Architecture and Management

By: Ahsan Zafar

Overview of this book

As Salesforce orgs mature over time, data management and integrations are becoming more challenging than ever. Salesforce Data Architecture and Management follows a hands-on approach to managing data and tracking the performance of your Salesforce org. You’ll start by understanding the role and skills required to become a successful data architect. The book focuses on data modeling concepts, how to apply them in Salesforce, and how they relate to objects and fields in Salesforce. You’ll learn the intricacies of managing data in Salesforce, starting from understanding why Salesforce has chosen to optimize for read rather than write operations. After developing a solid foundation, you’ll explore examples and best practices for managing your data. You’ll understand how to manage your master data and discover what the Golden Record is and why it is important for organizations. Next, you'll learn how to align your MDM and CRM strategy with a discussion on Salesforce’s Customer 360 and its key components. You’ll also cover data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce. Finally, you'll discover Large Data Volumes (LDVs) and best practices for migrating data using APIs. By the end of this book, you’ll be well-versed with data management, data backup, storage, and archiving in Salesforce.
Table of Contents (14 chapters)
Section 1: Data Architecture and Data Management Essentials
Section 2: Salesforce Data Governance and Master Data Management
Section 3: Large Data Volumes (LDVs) and Data Migrations


In this chapter, we learned about the different types of objects in Salesforce and we looked at their usages and limitations. We then reviewed some specific field types and investigated details regarding their usage.

We explored database concepts including normalization and denormalization and what data modeling is. You also learned why Salesforce is different from other relational databases, at least from a tenant's perspective, and how it has been optimized for read operations. Next, we looked into some important design principles to consider when designing your data model.

We investigated the different relationships and their usages, limitations, and use cases. Next, we took a deep dive into Salesforce's multi-tenancy architecture, its different components, and how they come together to generate a virtual application at runtime that we, as users, interact with.

This chapter should have provided you with a solid foundation to be able to understand multi...