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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

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Once the ASA job is created, in the Solution Explorer, the job topology folder structure could be viewed as Inputs (job input), Outputs (job output), JobConfig.json, Script.asaql (Stream Analytics Query file), Azure Functions (optional), and so on."

A block of code is set as follows:

Select input.vin, BlobSource.Model, input.timestamp, input.outsideTemperature, 
input.engineTemperature, input.speed, input.fuel, input.engineoil,
input.tirepressure, input.odometer, input.city, input.accelerator_pedal_position,
input.parking_brake_status,
input.headlamp_status, input.brake_pedal_status,
input.transmission_gear_position, input.ignition_status,
input.windshield_wiper_status, input.abs into output from input join BlobSource
on input.vin = BlobSource.VI

New terms and important words are shown in bold.

Words that you see on the screen, for example, in menus or dialogue boxes, appear in the text like this: "To run the Stream Analytics job query locally, first select Add Local Input by right-clicking on the ASA project in VS Solution Explorer, and choose to Add Local Input."

Warnings or important notes appear like this.
Tips and tricks appear like this.
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