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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

Canonical Azure architecture

The following architecture is a well know canonical design pattern for streaming data, let's review the components of the architecture:

  • Input: Inputs are the sources of events. Note that the original sources of streaming events are devices, machines, applications, sensors, applications, and so on. However, ASA is not intended to connect to them directly. Rather, ASA lets Azure Event Hubs be the primary interface to the wide variety of event sources. ASA is optimized to get streaming data from Azure Event Hubs and Azure Blob storage. Azure Blob storage is the likely place where log or reference data is stored. The list of input sources that ASA directly integrates with may increase in the future, but Azure Event Hubs and Azure Blob storage will be the primary sources. There can be multiple inputs used in each Stream Analytics job that can...
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