You're reading from Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond Design secure and reliable solutions for the real world in Microsoft Azure

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781800566934

Length 520 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Cloud Computing

Author (1):

Brett Hargreaves

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Table of Contents (30) Chapters

Preface

1. Section 1: Exploring Modern Architecture

2. Chapter 1: Architecture for the Cloud FREE CHAPTER

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

Chapter 13: Options for Data Integration

In the previous chapter, we looked at how to architect database solutions that are scalable and secure. This chapter will look at several options available for architects when designing solutions that must work with large datasets for analysis and reporting.

Big data is an industry term for working with terabytes (TB), or even petabytes (PB) of data, to create analytical dashboards and gain insights. Specialist tools are often required to perform this kind of processing, and it would be expensive to build them in your own data center.

Azure provides some of the world's most popular data tools for loading, transforming, and analyzing data. We will examine what a data pipeline looks like and then delve deeper into some of those tools.

Specifically, this chapter will cover the following topics: