Building Streaming Data Pipelines in Microsoft Azure
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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.
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.
Author Name: Reza Salehi
Author Description:
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.
Table of Contents
- Course Overview
1min - Azure Stream Analytics Overview
42mins - Configure Azure Stream Analytics with Event Hub and Blob Storage Inputs
23mins - Query Data Using Azure Stream Analytics
44mins - Implement Azure Stream Analytics Data Visualization with PowerBI
20mins - Anomaly Detection in Azure Stream Analytics
27mins - Analyzing Stream Data Using Azure Data Explorer
23mins
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