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

Chapter 1:Data Architect Roles and Responsibilities

In this chapter, we will first define the term architecture in order to establish a baseline understanding of what the term means. This will help us to establish what it is, bring other stakeholders on the same page, and prevent scope creep in roles and responsibilities. We will then look at the types of architects, their roles, and why it's important for them to work together in order to both produce a cohesive architectural strategy and to deliver value to an enterprise. Often, people may mention needing a solution architect, but in reality, the work they need to do may be more suitable for a data architect because the skill set required is different. So, understanding the different types of architects is important.

In this chapter, we will also look at the responsibilities of a data architect and the soft and hard skills needed to be successful in the role. Covering these topics will help you to communicate with architects more effectively in order to engage the right resources for your project. Understanding this from the beginning will help you to see the overlap that sometimes exists between the skills that data architects and solution architects have and understand when a task may require the skills of one role more than the other.

We will conclude the chapter by discussing a typical day in the life of a data architect, which will allow us to understand the work they do and the potential challenges they face.

In particular, we will cover these topics:

  • Defining architecture
  • Exploring architecture roles
  • Why is data architecture important?
  • Data architect responsibilities
  • Data architect skills
  • A day in the life of a data architect