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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

Summary


In this chapter, we have introduced building real-world case studies involving Stream Analytics as a component of the Azure real-time data analytics platform by engaging in step-by-step guidance and demonstrating a real-life proof-of-concept: social sentiment analytics utilizing a Twitter live feed and smart Azure supervised machine learning models.

We also had an evaluation of Azure IoT Suite as a preconfigured business solution, specifying domains such as remote device telemetry monitoring using Stream Analytics with Azure data stack, building up solutions for a connected factory, and implementation steps of real-life SIM card fraud detection analytics with Azure Stream Analytics and the PaaS (Platform as a Service) environment. 

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