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Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond

You're reading from  Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800566934
Pages 520 pages
Edition 1st Edition
Languages
Author (1):
Brett Hargreaves Brett Hargreaves
Profile icon Brett Hargreaves
Toc

Table of Contents (30) Chapters close

Preface 1. Section 1: Exploring Modern Architecture
2. Chapter 1: Architecture for the Cloud 3. Chapter 2: Principles of Modern Architecture 4. Section 2: Identity and Security
5. Chapter 3: Understanding User Authentication 6. Chapter 4: Managing User Authorization 7. Chapter 5: Ensuring Platform Governance 8. Chapter 6: Building Application Security 9. Section 3: Infrastructure and Storage Components
10. Chapter 7: Designing Compute Solutions 11. Chapter 8: Network Connectivity and Security 12. Chapter 9: Exploring Storage Solutions 13. Chapter 10: Migrating Workloads to Azure 14. Section 4: Applications and Databases
15. Chapter 11: Comparing Application Components 16. Chapter 12: Creating Scalable and Secure Databases 17. Chapter 13: Options for Data Integration 18. Chapter 14: High Availability and Redundancy Concepts 19. Section 5: Operations and Monitoring
20. Chapter 15: Designing for Logging and Monitoring 21. Chapter 16: Developing Business Continuity 22. Chapter 17: Scripted Deployments and DevOps Automation 23. Section 6: Beyond the Exam
24. Chapter 18: Engaging with Real-World Customers 25. Chapter 19: Enterprise Design Considerations 26. Mock Exam
27. Mock Answers
28. Assessments 29. Other Books You May Enjoy

Understanding data flows

Many organizations gather massive amounts of data and continue to amass data in many different forms from various systems. This data can be used to bring great value to a company.

One example may be an e-commerce company that collects sales and marketing data from its day-to-day operations. By analyzing the data, customer patterns could be ascertained, as well as the relative success of different advertising campaigns. This information could then be used to develop the company website to create a better customer journey or to identify the strongest performing marketing activities so that these can be honed while less effective ones are dropped.

Scientific organizations also make use of data to create better treatments, drugs, and methodologies.

Manufacturers can use data from internet of things (IoT) devices and sensors to optimize supply chains, increase operational efficiencies, or identify risks in products or processes.

Data sources include sales...

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