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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

Improving performance

We have looked at a variety of tools that can be used to diagnose and monitor performance-related issues. The next obvious step is to fix these performance bottlenecks depending on where the issue is. The technique or the tool to rectify the problem will also be different. For example, if there are multiple triggers per object, page performance could get impacted, and to fix this, you will need to refactor the code to use a single trigger per object. Another example that we will review later as well involves using multiple Process Builder flows on a single object – fixing that would require determining the tool that will provide optimal performance.

Let’s look at some of the actions we can take to improve performance once we have identified the issue. This should not be taken as an exhaustive list, but rather as pointers that can help you quickly improve the performance of your application. For example, multiple actions can be taken to improve...

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