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Salesforce DevOps for Architects

You're reading from   Salesforce DevOps for Architects Discover tools and techniques to optimize the delivery of your Salesforce projects

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837636051
Length 260 pages
Edition 1st Edition
Concepts
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Authors (2):
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Rob Cowell Rob Cowell
Author Profile Icon Rob Cowell
Rob Cowell
Lars Malmqvist Lars Malmqvist
Author Profile Icon Lars Malmqvist
Lars Malmqvist
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: A Brief History of Deploying Salesforce Changes 2. Chapter 2: Developing a DevOps Culture FREE CHAPTER 3. Chapter 3: The Value of Source Control 4. Chapter 4: Testing Your Changes 5. Chapter 5: Day-to-Day Delivery with SFDX 6. Chapter 6: Exploring Packaging 7. Chapter 7: CI/CD Automation 8. Chapter 8: Ticketing Systems 9. Chapter 9: Backing Up Data and Metadata 10. Chapter 10: Monitoring for Changes 11. Chapter 11: Data Seeding Your Development Environments 12. Chapter 12: Salesforce DevOps Tools – Gearset 13. Chapter 13: Copado 14. Chapter 14: Salesforce DevOps Tools – Flosum 15. Chapter 15: AutoRABIT 16. Chapter 16: Other Salesforce DevOps Tools 17. Chapter 17: Conclusion 18. Index 19. Other Books You May Enjoy

Data Seeding Your Development Environments

In this chapter, we delve into the importance and process of populating your development environments with realistic data, which is crucial for accurate development and testing. We will also explore data masking as a fundamental technique to ensure sensitive data remains protected throughout this process.

We will cover the following main topics:

  • The benefits of accurate data for development and testing: We will look at how data in our development environments brings realism, improved error detection, opportunities for performance tuning, and helps meet compliance and validation needs.
  • Seeding data in your environments: In this section, we explore practical steps for getting test data into your Salesforce orgs – from data generation to import – and discuss how these processes can be automated while being mindful of complex data relationships.
  • Protecting sensitive data with data masking: Finally, we ensure we...
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