Building Streaming Data Pipelines in Microsoft Azure

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Course Features

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Duration

5.05 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

5 hours per week

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Teaching Type

Self Paced

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Video Content

5.05 hours

Course Description

It can be difficult and costly to process live data streams in real-time. This course, Building Streaming data pipelines in Microsoft Azure, will teach you how to use Azure Stream Analytics to efficiently process live data streams. First, you'll learn how to set up stream and reference inputs. Next, you'll learn how to use the Stream Analytics Query Language to process your data. You will also learn how to visualize Azure Stream Analytics output using Microsoft Power BI. This course will equip you with the knowledge and skills required to transform your live stream data into actionable, meaningful information.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Analyzing Stream Data Using Azure Data Explorer

Anomaly Detection in Azure Stream Analytics

Azure Stream Analytics Overview

Configure Azure Stream Analytics with Event Hub and Blob Storage Inputs

Implement Azure Stream Analytics Data Visualization with PowerBI

Query Data Using Azure Stream Analytics

Course Instructors

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Troy Hunt

Instructor

Troy Hunt is a Microsoft Regional Director and MVP for Developer Security, an ASPInsider, and a full time Author for Pluralsight—a leader in online training for technology and creative professionals....
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