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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

Introducing data management

Data management is the discipline of collecting, storing, and using data effectively and in a cost-effective manner. The key goal of data management is to put in measures to ensure that data remains viable and fit for its intended purpose and that when it has ceased to be useful, it is appropriately discarded or archived. Earlier, we established that data is a valuable resource and an asset to any company, but let's look at some of the benefits of data management.

Benefits of data management

Data is critical to businesses regardless of their size, revenue, or industry. From a small mom-and-pop donut shop that serves locally to very large businesses that serve millions of customers every day, proper data management practices, processes, and tools are essential. Of course, a small business will not need to implement a Master Data Management (MDM) solution to manage its data, but a large organization will not be able to operate efficiently without...

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