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Becoming a Salesforce Certified Technical Architect

You're reading from   Becoming a Salesforce Certified Technical Architect Prepare for the review board by practicing example-led architectural strategies and best practices

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800568754
Length 628 pages
Edition 1st 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 (21) Chapters Close

Preface 1. Section 1: Your Journey to Becoming a CTA
2. Chapter 1: Starting Your Journey as a CTA FREE CHAPTER 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

The nature of data warehouses and data lakes

A data warehouse (DW or DWH) is a central repository of current and historical data that's been integrated from one or more disparate sources. The DWH (also referred to as enterprise data warehouse (EDW)) is a system that's used for data analysis and reporting. It is usually considered the core of an enterprise business intelligence strategy.

Data stored in a DWH comes from multiple systems, including operational systems (such as CRM systems). The data may need to undergo a set of data cleansing activities before it can be uploaded into the DWH to ensure data quality.

Some DWH tools have built-in ETL capabilities, while others rely on external third-party tools (we will cover ETL tools and other integration middleware in Chapter 3, Core Architectural Concepts – Integration and Security). This ETL capability will ensure that the ingested data has a specific quality and structure. Data might be staged in a specific staging...

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