Building Streaming Data Pipelines in Microsofts Azure
Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Duration: 1h 58m
Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 254 MB
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.