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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

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801073240

Length 376 pages

Edition 1st Edition

Tools

Salesforce

Concepts

CRM

Author (1):

Ahsan Zafar

View More author details

Table of Contents (14) Chapters

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

Section 2: Salesforce Data Governance and Master Data Management

This section will discuss master data management, the quest for the golden record, and how to align your MDM strategy with CRM. Later on, data governance, its multiple facets, and how GDPR compliance can be achieved with Salesforce will be considered. The latter parts of this section will discuss performance in Salesforce and how to use the query plan tool to understand how your data will perform on the platform.

We will cover the following chapters in this section:

Chapter 4, Making Sense of Master Data Management
Chapter 5, Implementing Data Governance
Chapter 6, Managing Performance

The rest of the chapter is locked

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Authors (1)

Zafar

Zafar

Iffat Zafar was born in Pakistan. She received her Ph.D. from the Loughborough University in Computer Vision and Machine Learning in 2008. After her Ph.D. in 2008, she worked as research associate at the Department of Computer Science, Loughborough University, for about 4 years. She currently works in the industry as an AI engineer, researching and developing algorithms using Machine Learning and Deep Learning for object detection and general Deep Learning tasks for edge and cloud-based applications.

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