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Hands-On Azure for Developers

You're reading from  Hands-On Azure for Developers

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789340624
Pages 606 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Kamil Mrzygłód Kamil Mrzygłód
Profile icon Kamil Mrzygłód
LinkedIn
Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
See other products by Kamil Mrzygłód

Table of Contents (24) Chapters

Preface 1. Azure App Service 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

Input and output types

Azure Stream Analytics offers a seamless integration with some native Azure services, such as Azure Event Hub, Azure IoT Hub, or Azure Blob Storage. Additionally, it can be easily configured to output data to an SQL database, Blob, or Event Azure Data Lake Store. To leverage those possibilities, you will have to define both input and output types, which you are interested in. This allows for data to be easily ingested (in the form of a stream), so a job, which you will write, can work on thousands of events, analyzing and processing them. In this section, you will learn how to get started with Azure Stream Analytics and to define both the inputsand outputs.

Create Azure Stream Analytics in Azure portal

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Authors (1)

Profile icon Kamil Mrzygłód
LinkedIn
Kamil Mrzygłód is a technical lead and technology advisor, working with multiple companies on designing and implementing Azure-based systems and platforms. He's a former Microsoft Azure Microsoft Most Valuable Professional (MVP) and certified trainer, who shares his knowledge via various channels, including conference speeches and open source projects and contributions. Kamil lives in Poland with his two cats and one dog, dedicating some of his time to video games, cooking, and traveling.
See other products by Kamil Mrzygłód

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