You're reading from Becoming a Salesforce Certified Technical Architect

Product type Book

Published in Feb 2021

Publisher Packt

ISBN-13 9781800568754

Pages 628 pages

Edition 1st Edition

Languages

Concepts

Software Architecture

Author (1):

Tameem Bahri

Table of Contents (21) Chapters

Preface

1. Section 1: Your Journey to Becoming a CTA

2. Chapter 1: Starting Your Journey as a CTA

3. Chapter 2: Core Architectural Concepts – Data

4. Chapter 3: Core Architectural Concepts – Integration and Cryptography

5. Chapter 4: Core Architectural Concepts – Identity and Access Management

6. Section 2: Knowledge Domains Deep Dive

7. Chapter 5: Developing a Scalable System Architecture

8. Chapter 6: Formulating a Secure Architecture in Salesforce

9. Chapter 7: Designing a Scalable Salesforce Data Architecture

10. Chapter 8: Creating a Lean Solution Architecture

11. Chapter 9: Forging an Integrated Solution

12. Chapter 10: Development Life Cycle and Deployment Planning

13. Chapter 11: Communicating and Socializing Your Solution

14. Section 3: Putting It All Together

15. Chapter 12: Practice the Review Board – First Mock

16. Chapter 13: Present and Defend – First Mock

17. Chapter 14: Practice the Review Board – Second Mock

18. Chapter 15: Present and Defend – Second Mock

19. Other Books You May Enjoy

Appendix: Tips and Tricks, and the Way Forward

Designing and documenting your data model

The importance of your data model's design cannot be emphasized enough. It is sad to see it being overlooked in many cases in Salesforce due to the fact that Salesforce comes with a pre-built data model, in addition to great flexibility for creating and changing custom fields and objects.

However, the proper data model design could be the difference between a smart, flexible, and scalable solution that delivers valuable real-time insight that justifies all efforts required to enter the data. This may also glorify the database with tons of dumped data and provide an overall feeling that data entry is an overhead.

Your data model is the foundation of your solution. You can read through the solution by understanding its data model, and your solution should be as strong as its foundation. You need to get your data model design right, and in order to do so, you need to understand key concepts in data modeling. This starts with normalization...