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Stream Analytics with Microsoft Azure

You're reading from   Stream Analytics with Microsoft Azure Real-time data processing for quick insights using Azure Stream Analytics

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788395908
Length 322 pages
Edition 1st Edition
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Authors (2):
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 Murphy Murphy
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Murphy
 Singh Singh
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Singh
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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 FREE CHAPTER 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

Solution architecture design and Proof-of-Concept implementation of social media sentiment analytics using Twitter and a sentiment analytics dashboard


In order to transform and extract Real-Time Insights from complex events for making key operational decisions, we will use Azure Stream Analytics. By uncovering the power of data insights coming from social media feeds, posts, weblogs, and clickstream event logs, we are able to then utilize these insights to build rich visuals, webhook alerts, or trigger workflows. In this demo, step-by-step guidance is provided in order to design a solution architecture and implement social sentiment analytics using Twitter with Azure Stream Analytics and the Azure analytical platform stack. 

Definition of sentiment analytics

Sentiment analytics is defined as the identification of opinions regarding a particular product, incident, or event in terms of positive, negative, or neutral mood posts. This is also known as opinion mining and is collected from social...

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