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Becoming a Salesforce Certified Technical Architect

You're reading from   Becoming a Salesforce Certified Technical Architect Build a strong command of architectural principles and strategies to prepare for the CTA review board

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803239439
Length 568 pages
Edition 2nd Edition
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Author (1):
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Tameem Bahri Tameem Bahri
Author Profile Icon Tameem Bahri
Tameem Bahri
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Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Starting Your Journey as a CTA 2. Chapter 2: Core Architectural Concepts: Data Life Cycle FREE CHAPTER 3. Chapter 3: Core Architectural Concepts: Integration and Cryptography 4. Chapter 4: Core Architectural Concepts: Identity and Access Management 5. Chapter 5: Developing a Scalable System Architecture 6. Chapter 6: Formulating a Secure Architecture in Salesforce 7. Chapter 7: Designing a Scalable Salesforce Data Architecture 8. Chapter 8: Creating a Lean Solution Architecture 9. Chapter 9: Forging an Integrated Solution 10. Chapter 10: Development Life Cycle and Deployment Planning 11. Chapter 11: Communicating and Socializing Your Solution 12. Chapter 12: Practice the Review Board: First Mock 13. Chapter 13: Present and Defend: First Mock 14. Chapter 14: Practice the Review Board: Second Mock 15. Chapter 15: Present and Defend: Second Mock 16. Other Books You May Enjoy Appendix: Tips and Tricks, and the Way Forward

Designing a Scalable Salesforce Data Architecture

In this chapter, you will continue looking at other Salesforce-specific knowledge areas a CTA must master. The data domain is the third out of the seven. You will understand the needed knowledge and then complete a hands-on exercise using a mini hypothetical scenario for each domain.

The data domain is broad, with a lot of interdependencies. It impacts several other domains and vice versa and can be considered the central part of any Salesforce solution. It involves understanding the fundamental principles of designing your data model, which is the core of any software solution. Arguably, the key to the success of several world-class applications is their well-designed data model.

A successful data architect should also be able to spot potential challenges in a data model, based on logic and experience, and propose a practical mitigation strategy. These challenges could have direct implications on the solution’s performance...

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