Performing Real-Time Analytics with Stream Analytics | DP-203 | K21Academy

Performing Real-Time Analytics with Stream Analytics

In this 15 min video    • Performing Real-Time Analytics with Stream...   you will learn how to (stream and process events with Azure Stream Analytics, data Ingestion with Event Hubs, and processing data with Stream Analytics Jobs).

Azure Stream Analytics is real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.

The following scenarios are examples of when you can use Azure Stream Analytics:

↬ Analyze real-time telemetry streams from IoT devices
↬ Web logs/clickstream analytics
↬ Geospatial analytics for fleet management and driverless vehicles
↬ Remote monitoring and predictive maintenance of high value assets
↬ Real-time analytics on Point of Sale data for inventory control and anomaly detection

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In this video, we will cover
00:00- Introduction
00-13- What Are Data Streams?
02:38- Event Processing
03:44- Processing events with Azure Stream Analytics
05:09- Review Questions
06:00- Event Hubs
06:24- Create An Event Hub
07:15- Configure Applications to use Event Hub
07:33- Evaluating Performance of Event Hub
08:06- Review Questions
09:10- Azure Stream Analytics Workflow
10:14- Create a Stream Analytics Job Input
12:14- Learning Path
13:51- How to Register for OUR FREE CLASS!

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