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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 have discussed a lot of topics in this chapter. We started off with enterprise data governance and explained what it is and what's different about it with respect to data management. My hope is that our discussion on data governance benefits and the risks of not having it provided you with a deep understanding and appreciation of its importance to any organization regardless of its size. We also highlighted why metadata management, an essential component of data governance, is important and how not having effective governance around metadata management can hinder our ability to govern data efficiently.

Once we understood the importance of data governance, the next logical step was where we go from there and that's what was covered: assessing your current state of data governance. We discussed some challenges with current state assessments, and I provided practical steps that you can take to conduct a successful assessment exercise. We ended the section by discussing...

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