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Stream Analytics with Microsoft Azure

You're reading from  Stream Analytics with Microsoft Azure

Product type Book
Published in Dec 2017
Publisher Packt
ISBN-13 9781788395908
Pages 322 pages
Edition 1st Edition
Languages
Authors (2):
Ryan Murphy Ryan Murphy
Profile icon Ryan Murphy
Manpreet Singh Manpreet Singh
Profile icon Manpreet Singh
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Introducing Stream Processing and Real-Time Insights 2. Introducing Azure Stream Analytics and Key Advantages 3. Designing Real-Time Streaming Pipelines 4. Developing Real-Time Event Processing with Azure Streaming 5. Building Using Stream Analytics Query Language 6. How to achieve Seamless Scalability with Automation 7. Integration of Microsoft Business Intelligence and Big Data 8. Designing and Managing Stream Analytics Jobs 9. Optimizing Intelligence in Azure Streaming 10. Understanding Stream Analytics Job Monitoring 11. Use Cases for Real-World Data Streaming Architectures

Introduction to Azure Stream Analytics


Microsoft Azure Stream Analytics falls into the category of PaaS services where the customers don't need to manage the underlying infrastructure. However, they are still responsible and manage an application that builds on the top of PaaS service and more importantly the customer data.

Azure Stream Analytics is a fully managed server-less PaaS service that is built for real-time analytics computations on streaming data. The service can consume from a multitude of sources. Azure will take care of the hosting, scaling, and management of the underlying hardware and software ecosystem. The following are some of the examples of different use cases for Azure Stream Analytics.

When we are designing the solution that involves streaming data, in almost every case, Azure Stream Analytics will be part of a larger solution that the customer was trying to deploy. This can be real-time dashboarding for monitoring purposes or real-time monitoring of IT infrastructure...

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