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Building Streaming Data Pipelines in Microsoft Azure

Do you need to process live data streams from sensors, custom apps, IoT devices, and logs? Do you need to immediately respond to anomalies and patterns in live data streams? Are you familiar with T-SQL? If so, Azure Stream Analytics is for you.

Intermediate
3h 2m
(60)

Created by Reza Salehi

Last Updated Jun 30, 2020

Course Thumbnail
  • Course

Building Streaming Data Pipelines in Microsoft Azure

Do you need to process live data streams from sensors, custom apps, IoT devices, and logs? Do you need to immediately respond to anomalies and patterns in live data streams? Are you familiar with T-SQL? If so, Azure Stream Analytics is for you.

Intermediate
3h 2m
(60)

Created by Reza Salehi

Last Updated Jun 30, 2020

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This course is included in the libraries shown below:

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  • Data
What you'll learn

Processing live data streams in real time can be challenging and expensive. In this course, Building Streaming Data Pipelines in Microsoft Azure, you will gain the ability to effectively use Azure Stream Analytics for your live data processing needs. First, you will learn to configure stream and reference inputs for the service. Next, you will discover how to process your data using the Stream Analytics Query Language. Finally, you will explore how to visualize Azure Stream Analytics output with Microsoft Power BI. When you are finished with this course, you will have the skills and knowledge of Azure Stream Analytics needed to turn your live stream data into meaningful, actionable information.

Building Streaming Data Pipelines in Microsoft Azure
Intermediate
3h 2m
(60)
Table of contents

About the author
Reza Salehi - Pluralsight course - Building Streaming Data Pipelines in Microsoft Azure
Reza Salehi
37 courses 4.3 author rating 1096 ratings

Reza, is a Microsoft Azure and Amazon AWS architect, developer and trainer. He continues helping his clients with cloud-native solutions while sharing his expertise with other developers through training and mentoring.

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