Salesforce Data Architecture and Management: A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively

by Ahsan Zafar

Overview

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.

Product Details

ISBN-13:	9781801076906
Publisher:	Packt Publishing
Publication date:	07/30/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	376
File size:	7 MB

About the Author

Ahsan Zafar is Salesforce Technical Architect. He is 15x Salesforce certified and is a Salesforce Certified Technical Architect (CTA) candidate. He has spent around two decades working with different aspects of data, including data architecture, master data management, and data migrations. Ahsan has also had stints as a Business Analyst, Project Manager, and Salesforce consultant on various projects that gave him a unique understanding of how data is perceived by different roles. He has also worked as a developer and as a technical lead, spending almost a decade implementing Oracle ERP systems that typically involved migrating significant volumes of data from legacy systems.

Table of Contents

1. Data Architect - Roles and Responsibilities
2. Understanding Salesforce Objects and Data Modeling
3. Understanding Data Management
4. Making Sense of Master Data Management
5. Implementing Data Governance
6. Managing Performance
7. Working with Large Volumes of Data
8. Best Practices for General Data Migration