Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789340624
Length 606 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Kamil Mrzygłód Kamil Mrzygłód
Author Profile Icon Kamil Mrzygłód
Kamil Mrzygłód
Arrow right icon
View More author details
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

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime