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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.
This Course Includes
pluralsight
4 (59 reviews )
3 hour 2 minutes 
english
Online - Self Paced
core courses
pluralsight
About Building Streaming Data Pipelines in Microsoft Azure
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.
What You Will Learn?
- 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.