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Salesforce Data Architecture and Management

You're reading from  Salesforce Data Architecture and Management

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073240
Pages 376 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ahsan Zafar Ahsan Zafar
Profile icon Ahsan Zafar
Toc

Table of Contents (14) Chapters close

Preface 1. Section 1: Data Architecture and Data Management Essentials
2. Chapter 1:Data Architect Roles and Responsibilities 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

Summary

We started off with the basics and reviewed master data and its importance in any organization, whether small or large. We reviewed the different types of data, especially comparing master data and reference data in the context of Salesforce. When most people talk about master data, they are usually referring to both these categories under the master data umbrella. We discussed at length what data is master data and the business problems that it helps us to solve. This should have provided you with an appreciation of why adequate resources and time should be spent in identifying master data with a solid plan to manage it properly for smooth and ongoing business operations.

We discussed Master Data Management (MDM), starting with its definition to establish a baseline understanding of the term, and then briefly discussed how an MDM program can be implemented. The discussion around different styles of implementing MDM provided a good understanding of which style would be appropriate...

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