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

Introducing big objects

Standard and custom Salesforce objects are designed to hold hundreds of thousands to millions of records, but organizations are generating new data at an exponential pace. Salesforce customers were no exceptions to this and were generating data at a rapid pace. Originally not designed for massive data volumes, the limits of standard and custom objects were being reached, forcing customers to look at other non-Salesforce options. Managing big data is challenging as it requires a specialized skill set and dedicated infrastructure to manage effectively.

Realizing these challenges and the business needs of its customers, Salesforce released the big objects feature a few years ago. Big objects can store millions of records, reaching up to the 1 billion mark and more. This data can then be accessed in the Salesforce platform or by any external application as well. The big object architecture is different from the main Salesforce platform, which most people are...