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Hands-On Azure for Developers

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

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789340624
Length 606 pages
Edition 1st Edition
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Author (1):
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Kamil Mrzygłód Kamil Mrzygłód
Author Profile Icon Kamil Mrzygłód
Kamil Mrzygłód
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Toc

Table of Contents (24) Chapters Close

Preface 1. Azure App Service FREE CHAPTER 2. Azure WebJobs 3. Deploying Web Applications as Containers 4. Distributed Applications and Microservices with Service Fabric 5. Using Azure Search 6. Mobile Notifications with Notification Hub 7. Serverless and Azure Functions 8. Integrating Different Components with Logic Apps 9. Swiss Army Knife - Azure Cosmos DB 10. Reactive Architecture with Event Grid 11. Using Azure Storage - Tables, Queues, Files, and Blobs 12. Big Data Pipeline - Azure Event Hub 13. Real-Time Data Analysis - Azure Stream Analytics 14. Enterprise Integration - Azure Service Bus 15. Using Application Insights to Monitor Your Applications 16. SQL in Azure - Azure SQL 17. Big Data Storage - Azure Data Lake 18. Scaling Azure Applications 19. Serving Static Content Using Azure CDN 20. Distributing Load with Azure Traffic Manager 21. Tips and Tricks for Azure 22. Assessments 23. Other Books You May Enjoy

Summary

In this chapter, you have learned a bit about Azure Data Lake Store, an Azure service designed to store an almost unlimited amount of data without affecting its structure. We have covered things such as data structure, security features, and best practices, so you should be able to get started on your own and build your very first solution based on this particular Azure component. Bear in mind that what can easily replace Azure Storage for example—it all depends on your requirements and expectations. If you're looking for a more flexible security model, better performance, and better limits, ADLS is for you. This ends this part of the book, which included services for storing data, monitoring services, and performing communication between them. In the next chapter, you will learn more about scaling, performance, and maintainability in Azure.

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