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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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Table of Contents (24) Chapters Close

Preface 1. Azure App Service 2. Azure WebJobs FREE CHAPTER 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

Understanding Azure Data Lake Store

When considering your storage solution, you have to take into account the amount of data you want to store. Depending on your answer, you may choose a different option from services available in Azure—Azure Storage, Azure SQL, or Azure Cosmos DB. There is also a variety of databases available as images for VMs (such as Cassandra or MongoDB); the ecosystem is quite rich so everyone can find what they are looking for. The problem arises when you do not have an upper limit for the amount of data stored or, considering the characteristics of today's applications, that amount grows so rapidly that there is no possibility to declare a safe limit, which we will never hit. For those kinds of scenario, there is a separate kind of storage named Data Lakes. They allow you to store data in its natural format, so it does not imply any kind of...

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