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

Exploring data modeling

Data modeling is the process of analyzing data requirements that are needed to support business requirements in the information systems of an organization. This involves analyzing the various data objects and the relationships between them. Data modeling provides a visual representation of data and how data elements associate with each other. Let's look into what a data model is in more detail as well as the different types of data models and the benefits of data modeling.

What is a data model?

A data model is a visual representation of data elements, their relationships, and the properties they have; for example, a laptop is a data element, a motherboard is another data element, RAM is another example, and so on and so forth. Whether the laptop has one or more than one RAM stick would be defined as the relationship between the two. In most laptops, there is one, and only one, motherboard, which is another relationship between the motherboard and...