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Priya Jha

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.

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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.

You must have some basic knowledge on working with Azure.

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What's inside

Syllabus

Project Overview
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. You must have some basic knowledge on working with Azure.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to essential concepts and hands-on implementation in IoT and cloud computing
Provides a practical foundation in working with IoT devices, Azure IoT Hub, and Azure storage
Guided by an experienced instructor, Priya Jha, who has industry expertise in IoT
Suitable for learners with basic knowledge of working with Azure
Course completion requires access to a Raspberry Pi and Azure subscription, which may incur additional costs

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Processing IoT Hub data streams with Azure Stream Analytics with these activities:
Review basics of Azure
Reviewing the basics of Azure will help you build a stronger foundation for understanding the more advanced concepts covered in this course.
Browse courses on Azure Fundamentals
Show steps
  • Go through the Azure documentation on core concepts.
  • Take an online course or tutorial on Azure basics.
  • Practice using the Azure portal and Azure CLI.
Create an IoT hub
Creating an IoT hub will give you hands-on experience with one of the core concepts covered in this course.
Browse courses on Azure IoT Hub
Show steps
  • Create an Azure account and log in to the Azure portal.
  • Create a new resource group and select a region.
  • Create a new IoT hub.
  • Configure the IoT hub settings.
  • Test the IoT hub by sending a message from a device simulator.
Join a study group or online forum for Azure IoT
Joining a community for Azure IoT will provide you with opportunities to connect with other learners, ask questions, and share knowledge.
Browse courses on Azure IoT
Show steps
  • Find a study group or online forum that focuses on Azure IoT.
  • Introduce yourself and ask questions.
  • Participate in discussions and share your knowledge.
Five other activities
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Follow a tutorial on Azure Stream Analytics
Following a tutorial on Azure Stream Analytics will help you gain practical experience with another core concept covered in this course.
Browse courses on Azure Stream Analytics
Show steps
  • Find a tutorial on Azure Stream Analytics that matches your skill level.
  • Follow the tutorial step-by-step.
  • Experiment with the Azure Stream Analytics features and functionality.
Volunteer with an organization that uses Azure IoT
Volunteering with an organization that uses Azure IoT will give you hands-on experience and the opportunity to contribute to a meaningful project.
Browse courses on Azure IoT
Show steps
  • Find an organization that uses Azure IoT and is looking for volunteers.
  • Contact the organization and express your interest in volunteering.
  • Attend training sessions and learn how to use Azure IoT.
  • Work on Azure IoT projects and contribute to the organization's goals.
Write a blog post or article on Azure IoT
Writing a blog post or article on Azure IoT will help you solidify your understanding of the concepts covered in this course and share your knowledge with others.
Browse courses on Azure IoT
Show steps
  • Choose a topic related to Azure IoT that you are knowledgeable about.
  • Research the topic and gather information.
  • Write your blog post or article.
  • Publish your blog post or article on a relevant platform.
Participate in an Azure IoT hackathon
Participating in an Azure IoT hackathon will challenge you to apply your skills and knowledge to solve real-world problems.
Browse courses on Azure IoT
Show steps
  • Find an Azure IoT hackathon that interests you.
  • Form a team or work individually.
  • Develop a solution to the hackathon challenge.
  • Submit your solution and compete for prizes.
Contribute to an open-source Azure IoT project
Contributing to an open-source Azure IoT project will give you experience working on a real-world project and collaborating with other developers.
Browse courses on Azure IoT
Show steps
  • Find an open-source Azure IoT project that interests you.
  • Read the project documentation and learn how to contribute.
  • Fix bugs, add features, or improve the documentation.
  • Submit your contributions to the project.

Career center

Learners who complete Processing IoT Hub data streams with Azure Stream Analytics will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is responsible for analyzing data to extract insights and trends. This course may be useful for aspiring Data Scientists as it provides a foundation in working with Azure, which is a popular cloud platform for storing and processing data. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Data Engineer
A Data Engineer is responsible for building and maintaining data pipelines that move data from various sources to a central repository. This course may be useful for aspiring Data Engineers as it provides a foundation in working with Azure, which is a popular cloud platform for building data pipelines. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Data Architect
A Data Architect is responsible for designing, building, and maintaining an organization's data infrastructure. This course may be useful for aspiring Data Architects as it provides a foundation in working with Azure, which is a popular cloud platform for storing and processing data. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Cloud Engineer
A Cloud Engineer is responsible for designing, building, and maintaining cloud-based infrastructure. This course may be useful for aspiring Cloud Engineers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying cloud-based infrastructure. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course may be useful for aspiring Software Engineers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying software applications. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Network Engineer
A Network Engineer is responsible for designing, building, and maintaining computer networks. This course may be useful for aspiring Network Engineers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying computer networks. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Security Engineer
A Security Engineer is responsible for designing, implementing, and maintaining security measures to protect an organization's data and systems. This course may be useful for aspiring Security Engineers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying security measures. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Data Analyst
A Data Analyst is responsible for analyzing data to extract insights and trends. This course may be useful for aspiring Data Analysts as it provides a foundation in working with Azure, which is a popular cloud platform for storing and processing data. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course may be useful for aspiring Database Administrators as it provides a foundation in working with Azure, which is a popular cloud platform for storing and managing databases. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Mobile Developer
A Mobile Developer is responsible for designing, developing, and maintaining mobile applications. This course may be useful for aspiring Mobile Developers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying mobile applications. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course may be useful for aspiring Business Analysts as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying business applications. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
IT Project Manager
An IT Project Manager is responsible for planning, executing, and managing IT projects. This course may be useful for aspiring IT Project Managers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying IT projects. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Web Developer
A Web Developer is responsible for designing, developing, and maintaining websites. This course may be useful for aspiring Web Developers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying websites. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Technical Writer
A Technical Writer is responsible for writing technical documentation, such as user manuals, white papers, and training materials. This course may be useful for aspiring Technical Writers as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying technical documentation. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.
Systems Administrator
A Systems Administrator is responsible for managing and maintaining computer systems. This course may be useful for aspiring Systems Administrators as it provides a foundation in working with Azure, which is a popular cloud platform for building and deploying computer systems. Additionally, the course covers how to create and manage Azure storage accounts, which are used to store data from IoT devices.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Processing IoT Hub data streams with Azure Stream Analytics.
Provides a comprehensive overview of deep learning, covering the basics of deep learning, deep learning algorithms, and how to apply deep learning to real-world problems. It good resource for getting started with deep learning.
Provides a comprehensive overview of computer vision, covering the basics of computer vision, computer vision algorithms, and how to apply computer vision to real-world problems. It good resource for getting started with computer vision.
Provides a comprehensive overview of natural language processing, covering the basics of natural language processing, natural language processing algorithms, and how to apply natural language processing to real-world problems. It good resource for getting started with natural language processing.
Provides a comprehensive overview of reinforcement learning, covering the basics of reinforcement learning, reinforcement learning algorithms, and how to apply reinforcement learning to real-world problems. It good resource for getting started with reinforcement learning.
Provides a comprehensive overview of Azure Cognitive Services, covering the basics of cognitive services, Azure Cognitive Services services, and best practices. It good foundation for understanding the cognitive services concepts that can be used in conjunction with IoT.
Provides a gentle introduction to machine learning for beginners. It covers the basics of machine learning, machine learning algorithms, and how to apply machine learning to real-world problems. It good resource for getting started with machine learning.

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