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Salesforce Data Architect Certification Guide

You're reading from   Salesforce Data Architect Certification Guide Comprehensive coverage of the Salesforce Data Architect exam content to help you pass on the first attempt

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781801813556
Length 254 pages
Edition 1st Edition
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Author (1):
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Aaron Allport Aaron Allport
Author Profile Icon Aaron Allport
Aaron Allport
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Table of Contents (23) Chapters Close

Preface 1. Section 1: Salesforce Data Architect Theory
2. Chapter 1: Introducing the Salesforce Data Architect Journey FREE CHAPTER 3. Chapter 2: Data Modeling and Database Design 4. Chapter 3: Master Data Management 5. Chapter 4: Salesforce Data Management 6. Chapter 5: Data Governance 7. Chapter 6: Understanding Large Data Volumes 8. Chapter 7: Data Migration 9. Section 2: Salesforce Data Architect Design
10. Chapter 8: Accounts and Contacts 11. Chapter 9: Data APIs and Apex 12. Chapter 10: Tuning Performance 13. Chapter 11: Backup and Restore 14. Chapter 12: Territory Management 15. Section 3: Applying What We've Learned – Practice Questions and Revision Aids
16. Chapter 13: Practice Exam Questions 17. Chapter 14: Cheat Sheets 18. Chapter 15: Further Resources 19. Chapter 16: How to Take the Exam 20. Chapter 17: Answers to Practice Questions 21. Index 22. Other Books You May Enjoy

Introducing MDM

MDM is the discipline of determining and maintaining a single source of truth for shared data across an enterprise. As you can probably imagine, maintaining multiple copies of the same information across an IT enterprise is inefficient and can lead to data inconsistencies. Unless people and technology are 100% aligned, maintaining multiple copies of the same data is virtually impossible. Siloed businesses (where each business division is effectively separated in terms of people and technology) suffer from data inconsistencies, and the quality and classification of data they hold is often flawed. These scenarios require bringing together the data held by different systems into a data master, or single source of truth.

A single source of truth can be visualized conceptually as follows:

Figure 3.1 – Bringing data held in different systems to form a single source of truth

An example of inadequate MDM was realized by myself recently, and...

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