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Salesforce Data Architecture and Management

You're reading from   Salesforce Data Architecture and Management A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Length 376 pages
Edition 1st Edition
Concepts
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Author (1):
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Ahsan Zafar Ahsan Zafar
Author Profile Icon Ahsan Zafar
Ahsan Zafar
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Table of Contents (14) Chapters Close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities FREE CHAPTER 3. Chapter 2: Understanding Salesforce Objects and Data Modeling 4. Chapter 3: Understanding Data Management 5. Section 2: Salesforce Data Governance and Master Data Management
6. Chapter 4: Making Sense of Master Data Management 7. Chapter 5: Implementing Data Governance 8. Chapter 6: Managing Performance 9. Section 3: Large Data Volumes (LDVs) and Data Migrations
10. Chapter 7: Working with Large Volumes of Data 11. Chapter 8: Best Practices for General Data Migration 12. Assessments 13. Other Books You May Enjoy

Learning data management best practices

In this section, we will be learning data management best practices within the context of Salesforce. You probably already realize that Salesforce is increasingly being used for more than just CRM, and companies are using it for critical business functions. Even if it was only used as a CRM, data would be very important and require continuous data management.

In my opinion, gone are the days when you could go to your production org and add or modify existing functionality because a user requested it. With more intra-dependencies between applications built on the platform and inter-dependencies between external systems and Salesforce, changes concerning data and metadata, in particular, must be thought through. I am not proposing spending hours and days analyzing what impact adding a new list view is going to have, but pragmatically approaching changes to your production environment based on the size of the change and how interlinked it is...

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