Building Streaming Data Pipelines in Microsoft Azure

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Reza Salehi

1:57:54

39 View

01 - Course Overview

01 - Course Overview.mp4

01:12

02 - Azure Stream Analytics Overview

02 - Overview.mp4

01:45

03 - What Is Live Event Processing.mp4

04:14

04 - Live Data Processing Challenges.mp4

02:43

05 - Introducing Azure Stream Analytics.mp4

04:45

06 - What Is Time Windowing.mp4

03:08

07 - Tumbling Window and Hopping Window.mp4

03:42

08 - Sliding Window and Session Window.mp4

04:53

09 - Demo - Creating Our First Azure Stream Analytics Job.mp4

10:41

10 - Summary.mp4

02:00

03 - Configure Azure Stream Analytics with Event Hub and Blob Storage Inputs

11 - Overview.mp4

01:16

12 - Azure Stream Analytics Stream Data Input.mp4

03:30

13 - Azure Stream Analytics Reference Data Input.mp4

03:16

14 - Demo - Sending Events to Azure Event Hubs in .NET.mp4

07:56

15 - Demo - Configuring Event Hubs Input for Azure Stream Analytics.mp4

05:51

16 - Summary.mp4

01:17

04 - Query Data Using Azure Stream Analytics

17 - Overview.mp4

02:10

18 - Stream Analytics Supported Input Formats.mp4

02:32

19 - Stream Analytics Query Language Data Types.mp4

04:51

20 - Stream Analytics Query Language Elements and Functions.mp4

04:10

21 - Stream Analytics Timing and Timestamp By.mp4

03:39

22 - Event Ordering Policies.mp4

02:43

23 - Demo - Stream Analytics Query Language.mp4

13:01

24 - Summary.mp4

01:52

05 - Implement Azure Stream Analytics Data Visualization with PowerBI

25 - Overview.mp4

01:29

26 - Azure Stream Analytics Power BI Output.mp4

03:23

27 - Demo - Azure Stream Analytics Power BI Output.mp4

08:07

28 - Demo - Azure Stream Analytics Power BI Output with SQL Database.mp4

06:24

29 - Summary.mp4

01:24

Description

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.

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.

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Microsoft Azure

Software Engineering

Reza Salehi

Instructor's Courses

Reza is a cloud consultant and a Microsoft Certified Trainer alumni. He started professional software development and training over two decades ago and is passionate about cloud technologies. Reza continues to help his clients moving to the cloud and loves to share his passion for the cloud with the developers and software architects through training.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.