You're reading from Azure for Developers Implement rich Azure PaaS ecosystems using containers, serverless services, and storage solutions

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781803240091

Length 632 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Robotic Process Automation

Author (1):

Kamil Mrzygłód

View More author details

Table of Contents (32) Chapters

Preface

1. Part 1: PaaS and Containers

2. Chapter 1: Web Applications in Azure – Azure App Service FREE CHAPTER

3. Chapter 2: Using Azure Container Registry for Storing and Managing Images

4. Chapter 3: Deploying Web Applications as Containers

5. Chapter 4: Using Azure Container Instances for Ad Hoc Application Hosting

6. Chapter 5: Building a Search Engine with Azure Cognitive Search

7. Chapter 6: Mobile Notifications with Notification Hubs

8. Part 2: Serverless and Reactive Architecture

9. Chapter 7: Serverless and Azure Functions

10. Chapter 8: Durable Functions

11. Chapter 9: Integrating Different Components with Logic Apps

12. Chapter 10: Swiss Army Knife – Azure Cosmos DB

13. Chapter 11: Reactive Architecture with Event Grid

14. Part 3: Storage, Messaging, and Monitoring

15. Chapter 12: Using Azure Storage – Tables, Queues, Files, and Blobs

16. Chapter 13: Big Data Pipeline – Azure Event Hubs

17. Chapter 14: Real-Time Data Analysis – Azure Stream Analytics

18. Chapter 15: Enterprise Integration – Azure Service Bus

19. Chapter 16: Using Application Insights to Monitor Your Applications

20. Chapter 17: SQL in Azure – Azure SQL

21. Chapter 18: Big Data Storage – Azure Data Lake

22. Part 4: Performance, Scalability, and Maintainability

23. Chapter 19: Scaling Azure Applications

24. Chapter 20: Serving Static Content Using Azure CDN

25. Chapter 21: Managing APIs with Azure API Management

26. Chapter 22: Building a Scalable Entry Point for Your Service with Azure Front Door

27. Chapter 23: Azure Application Gateway as a Web Traffic Load Balancer

28. Chapter 24: Distributing Load with Azure Traffic Manager

29. Chapter 25: Tips and Tricks in Azure

30. Index

Why subscribe?

31. Other Books You May Enjoy

Real-Time Data Analysis – Azure Stream Analytics

While some Azure components enable us to deliver data to the cloud, in most cases we also need something that is designed for analyzing and querying streamed data. One such service is Azure Stream Analytics, a real-time data analysis tool that can read all messages sent through – for example—Event Hubs, and transform and save them using one of the predefined outputs. This chapter is structured in a way that will help you start with the analysis of streamed data and should help in getting things done properly.

The following topics will be covered in this chapter: