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)
1
Section 1: Data Architecture and Data Management Essentials
5
Section 2: Salesforce Data Governance and Master Data Management
9
Section 3: Large Data Volumes (LDVs) and Data Migrations

Section 3: Large Data Volumes (LDVs) and Data Migrations

In this section, you will learn about LDVs – what they are and how to use them in searches and SOQL queries. Topics related to loading LDVs will also be discussed, with examples demonstrating how to load data efficiently without running into issues. In the final chapter, best practices for migrating data and the use of APIs will be discussed.

In this section, the following chapters are included:

  • Chapter 7, Working with Large Volumes of Data
  • Chapter 8, Best Practices for General Data Migration