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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 (4):
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Krishnaswamy Venkataraman Krishnaswamy Venkataraman
Author Profile Icon Krishnaswamy Venkataraman
Krishnaswamy Venkataraman
Ryan Murphy Ryan Murphy
Author Profile Icon Ryan Murphy
Ryan Murphy
Manpreet Singh Manpreet Singh
Author Profile Icon Manpreet Singh
Manpreet Singh
Anindita Basak Anindita Basak
Author Profile Icon Anindita Basak
Anindita Basak
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Toc

Table of Contents (12) Chapters Close

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

Developing Real-Time Event Processing with Azure Streaming

In this chapter, we will explore end-to-end development concepts with guidance related to Azure Stream Analytics job implementation, introducing various development tools to build streaming jobs on the cloud, provisioning through the Azure portal, and utilization techniques of Azure Resource Management (ARM) templates to work with Stream Analytics jobs in a real-world scenario.

The following points of discussion in this chapter are as follows:

  • Step-by-step implementation guidance for a real-world streaming job on Azure using Streaming Analytics tools for Visual Studio
  • The provisioning details of a Stream Analytics job using the Azure portal
  • Development illustrations related to a streaming job using the Azure Resource Manager template
  • Introduction to various input data sources and output sink connectors for Azure...
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