In this 1-hour long project-based course, we will learn to create an IoT hub in the Azure cloud, register an IoT device within that IoT hub, send telemetry data from a raspberry pi web simulator to the IoT hub, create an Azure storage account and create stream analytics job with IoT hub as input and storage account as output so that we can store the sensor data on the Azure storage. Not only this, we will also see how we can perform queries and store specific telemetry data on the Azure storage.
Processing IoT Hub data streams with Azure Stream Analytics
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Processing IoT Hub data streams with Azure Stream Analytics
Instructor: Priya Jha
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Learn, practice, and apply job-ready skills with expert guidance
4.5
(21 reviews)
Intermediate level
Some related experience required
1.5 hours
Learn at your own pace
Hands-on learning
What you'll learn
Learn to create an IoT hub and register a device in IoT hub
Learn to create stream analytics job with IoT hub as input and Azure storage as output
Learn to use raspberry pi online simulator to send streaming data to the IoT hub
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction and create an Azure account
Create and Configure an Azure IoT Hub
Register a new device in the IoT hub and connect IoT hub to the raspberry pi simulator
Practice task: Register a new device in iot hub
Create an Azure Storage Account
Create a stream analytics job with iot hub as input and storage as output
Run the stream analytics job and work with queries
Capstone Task : Create a new storage output on stream analytics and run the simulator
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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