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Eugene Meidinger
Azure Event Hubs is a tool for reliably streaming real-time events. This course will teach you the basics of using Azure Event Hubs, including creating an event hub, sending and receiving events, and storing events for long term access.
Processing streaming data often requires low latencies and scalability.
In this course, Handling Streaming Data with Azure Event Hub, you’ll gain the ability to use Azure Event Hubs to receive and process events in real-time.
Azure Event Hub is a tool for reliably streaming real-time events, similar to Kafka.
Read more
Azure Event Hubs is a tool for reliably streaming real-time events. This course will teach you the basics of using Azure Event Hubs, including creating an event hub, sending and receiving events, and storing events for long term access.
Processing streaming data often requires low latencies and scalability.
In this course, Handling Streaming Data with Azure Event Hub, you’ll gain the ability to use Azure Event Hubs to receive and process events in real-time.
Azure Event Hub is a tool for reliably streaming real-time events, similar to Kafka.
Read more
Azure Event Hubs is a tool for reliably streaming real-time events. This course will teach you the basics of using Azure Event Hubs, including creating an event hub, sending and receiving events, and storing events for long term access.
Processing streaming data often requires low latencies and scalability.
In this course, Handling Streaming Data with Azure Event Hub, you’ll gain the ability to use Azure Event Hubs to receive and process events in real-time.
Azure Event Hub is a tool for reliably streaming real-time events, similar to Kafka.
Some of the major topics that we will cover include messaging, architectures, creating and consuming event messages and extracting events for analytics.
Before starting this course, you should be familiar with Azure in general.
This course is no longer available. Find something similar by browsing:
Event Hubs
Event Streaming
Real-Time Data
Big Data
Cloud Services
Messaging
Azure
Register for this course and see more details by visiting:
OpenCourser.com/course/n9mbqp/handling
What's inside
Syllabus
Course Overview
Comparing Event Hubs to Other Messaging Tools
Creating a Minimal Event Hubs Solution
Architecting an Advanced Event Hubs Solution
Read more
Syllabus
Course Overview
Comparing Event Hubs to Other Messaging Tools
Creating a Minimal Event Hubs Solution
Architecting an Advanced Event Hubs Solution
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Examines Azure Event Hub in comparison to other messaging services, which is standard in the field
Taught by Eugene Meidinger, who is recognized in this field
Develops knowledge of creating, consuming, and extracting events, which are core skills in data processing
Explores architectures for advanced Event Hub setups
Develops foundational skills for data processing
May require prior experience with Azure
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Reviews summary
Mastering azure event hubs fundamentals
According to students, this course provides a strong foundation in Azure Event Hubs, particularly excelling in its clear explanations of complex concepts and highly practical hands-on labs. Learners frequently highlighted the valuable comparisons to Kafka, which aids in bridging existing knowledge for professionals. While recent reviews suggest the content is up-to-date, some earlier feedback noted outdated tooling, hinting at potential course improvements over time. The course is seen as an excellent starting point for professionals but may require additional resources for advanced, production-level scenarios and deeper dives into error handling or monitoring, and some find the pace challenging for absolute beginners despite stated prerequisites.
Valuable comparisons to Kafka aid understanding.
"I especially appreciated the comparison to Kafka, which helped bridge my existing knowledge."
"The explanation of Event Hubs vs. Kafka was invaluable."
"The comparison to Kafka was a nice touch, but then it wasn't extensively built upon."
Highly practical hands-on labs reinforce concepts effectively.
"The hands-on labs are incredibly useful. I especially appreciated the comparison to Kafka, which helped bridge my existing knowledge."
"Fantastic course! The practical examples are spot on... I found the labs easy to follow and very relevant."
"The labs were well-designed and reinforced the concepts effectively. This course truly delivered on its promise of handling streaming data."
Recent updates have improved course material and tooling.
"The content feels up-to-date and practical."
"Honestly, I was a bit disappointed. While it covers the basics, the course felt outdated in some of the tooling aspects mentioned, and some demos didn't work as expected for me."
"Decent course but could use some updates. Some parts felt a bit rushed, especially the more complex configurations."
Course excels at clarifying complex Event Hubs concepts.
"This course is an excellent deep dive into Azure Event Hubs. The instructor explains complex concepts... very clearly."
"A solid introduction to Event Hubs. The content is generally clear."
"The instructor does a great job explaining the 'why' behind Event Hubs features."
Some lab code can be verbose or environments slow.
"My only minor critique is that some of the code examples in the labs were a bit verbose, making them slightly harder to follow initially."
"Also, some lab environments felt a bit slow."
Requires more than general Azure familiarity; fast-paced.
"The pace was a bit too fast for a beginner, and the prerequisite of 'general Azure familiarity' felt understated; you really need more than just general familiarity to keep up."
"I struggled with the hands-on portions."
Provides a strong foundation but lacks advanced depth.
"The course covers the core concepts well, but I felt it lacked depth in certain areas, particularly error handling and monitoring for large-scale deployments."
"It serves as a decent starting point, but I'll need to look for additional resources for production-level knowledge."
"It's a good foundational course, but for truly advanced scenarios, more depth would be beneficial."
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 Handling Streaming Data with Azure Event Hub with these
activities:
Review Apache Kafka
Show steps
Learn about fundamental streaming data concepts to improve your comprehension of Event Hubs.
Browse courses on
Apache Kafka
Show steps
-
Explore Kafka's architecture, features and terminologies.
-
Follow tutorials on how to set up Kafka clusters and produce and consume events.
-
Join online forums and discussions related to Kafka to engage with the Kafka community.
Create an Event Hub
Show steps
Practice the basic skills of using Azure Event Hubs by creating an Event Hub using the Azure Portal.
Show steps
-
Log in to the Azure Portal
-
Create a new Event Hub resource
-
Configure the Event Hub settings
Store Events in Azure Storage
Show steps
Practice storing events in Azure Storage using the Event Hubs SDK.
Browse courses on
Azure Storage
Show steps
-
Create an Azure Storage account
-
Create an Event Hub client
-
Create an event receiver
-
Configure the event receiver to store events in Azure Storage
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Real-time Data Streaming Application
Show steps
Apply your knowledge of Azure Event Hubs to build a real-time data streaming application that captures, processes, and analyzes data in real time.
Show steps
-
Design the application architecture
-
Create an Event Hub and configure event producers and consumers
-
Implement data processing and analysis logic
-
Deploy and test the application
Mentor a Junior Developer on Event Hubs
Show steps
Consolidate your understanding of Azure Event Hubs by sharing your knowledge with a junior developer who is new to the technology.
Browse courses on
Mentoring
Show steps
-
Find a junior developer who is interested in learning about Event Hubs
-
Schedule regular mentoring sessions
-
Share your knowledge and experience with the junior developer
-
Provide guidance and support as the junior developer works on Event Hubs projects
Attend an Azure Event Hubs Community Event
Show steps
Expand your knowledge of Azure Event Hubs and connect with other professionals in the field by attending an Azure Event Hubs community event.
Show steps
-
Find an Azure Event Hubs community event in your area
-
Register for the event
-
Attend the event and participate in discussions
-
Connect with other attendees on LinkedIn
Review Apache Kafka
Show steps
Learn about fundamental streaming data concepts to improve your comprehension of Event Hubs.
Browse courses on
Apache Kafka
Show steps
Show steps
Show steps
- Explore Kafka's architecture, features and terminologies.
- Follow tutorials on how to set up Kafka clusters and produce and consume events.
- Join online forums and discussions related to Kafka to engage with the Kafka community.
Create an Event Hub
Show steps
Practice the basic skills of using Azure Event Hubs by creating an Event Hub using the Azure Portal.
Show steps
Show steps
Show steps
- Log in to the Azure Portal
- Create a new Event Hub resource
- Configure the Event Hub settings
Store Events in Azure Storage
Show steps
Practice storing events in Azure Storage using the Event Hubs SDK.
Browse courses on
Azure Storage
Show steps
Show steps
Show steps
- Create an Azure Storage account
- Create an Event Hub client
- Create an event receiver
- Configure the event receiver to store events in Azure Storage
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Real-time Data Streaming Application
Show steps
Apply your knowledge of Azure Event Hubs to build a real-time data streaming application that captures, processes, and analyzes data in real time.
Show steps
Show steps
Show steps
- Design the application architecture
- Create an Event Hub and configure event producers and consumers
- Implement data processing and analysis logic
- Deploy and test the application
Mentor a Junior Developer on Event Hubs
Show steps
Consolidate your understanding of Azure Event Hubs by sharing your knowledge with a junior developer who is new to the technology.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Find a junior developer who is interested in learning about Event Hubs
- Schedule regular mentoring sessions
- Share your knowledge and experience with the junior developer
- Provide guidance and support as the junior developer works on Event Hubs projects
Attend an Azure Event Hubs Community Event
Show steps
Expand your knowledge of Azure Event Hubs and connect with other professionals in the field by attending an Azure Event Hubs community event.
Show steps
Show steps
Show steps
- Find an Azure Event Hubs community event in your area
- Register for the event
- Attend the event and participate in discussions
- Connect with other attendees on LinkedIn
Career center
Learners who complete Handling Streaming Data with Azure Event Hub will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
Data Architects design and manage data systems, ensuring that data is collected, stored, and processed efficiently. They work closely with other stakeholders to ensure that data is used effectively and securely. Having knowledge of Azure Event Hubs is beneficial to Data Architects, as it can help you understand how to manage streaming data.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. They work on a variety of tasks, including provisioning and managing cloud resources, developing cloud applications, and implementing cloud security measures. This course can help Cloud Engineers gain knowledge of Azure Event Hubs, which can be useful for working with streaming data on the cloud.
Data Engineer
Data Engineer
Data Engineers build, deploy, and maintain data pipelines and manage data infrastructure. They also perform data integration and work with structured and unstructured data. Knowledge of Azure Event Hubs can provide a competitive edge for Data Engineers, and this course can help you gain that knowledge.
Big Data Engineer
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems. They also work on tasks such as data collection, data processing, and data analysis. Knowledge of Azure Event Hubs can be useful for Big Data Engineers who work with streaming data. This course may be helpful for gaining that knowledge.
Data Scientist
Data Scientist
Data Scientists use their knowledge of machine learning, statistics, and data analysis to extract valuable insights from data. They also help organizations make data-driven decisions by communicating their findings in a clear and compelling way. This course can help Data Scientists develop their understanding of Azure Event Hubs, which can be useful for working with streaming data.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design, build, and maintain data integration systems. They also work on tasks such as data extraction, transformation, and loading. Knowledge of Azure Event Hubs can be useful for Data Integration Engineers who work with streaming data. This course may be helpful for gaining that knowledge.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They also work on tasks such as data collection, model training, and model deployment. Knowledge of Azure Event Hubs can be useful for Machine Learning Engineers who work with streaming data. This course may be helpful for gaining that knowledge.
Data Analyst
Data Analyst
Data Analysts help their organizations make smarter decisions through data-driven insights. Besides data collection and analysis, they play a key role in interpreting and communicating results to stakeholders. They also provide suggestions for optimizing operations and improving decision-making processes. This course can help you strengthen your understanding of Azure Event Hubs, which can be useful as a Data Analyst.
Database Administrator
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. They also work on tasks such as data backup and recovery, performance tuning, and user management. Knowledge of Azure Event Hubs can be useful for Database Administrators who manage databases that handle streaming data. This course may be helpful for gaining that knowledge.
Systems Administrator
Systems Administrator
Systems Administrators manage and maintain computer systems, including hardware, software, and networks. They also work on tasks such as system security, performance tuning, and user management. This course can help Systems Administrators gain knowledge of Azure Event Hubs, which can be useful for managing systems that handle streaming data.
Security Engineer
Security Engineer
Security Engineers protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They also work on tasks such as risk assessment, incident response, and security policy development. This course can help Security Engineers gain knowledge of Azure Event Hubs, which can be useful for securing systems that handle streaming data.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. They also work on tasks such as data integration, data transformation, and data analysis. Knowledge of Azure Event Hubs can be useful for Data Warehouse Engineers who work with streaming data. This course may be helpful for gaining that knowledge.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on a variety of projects, from small personal apps to large enterprise systems. Familiarity with Azure Event Hubs can be useful for Software Engineers who work on projects that involve streaming data. This course may be helpful for gaining that familiarity.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They also work on tasks such as network security, performance tuning, and user management. Familiarity with Azure Event Hubs can be useful for Network Engineers who work on networks that handle streaming data. This course may be helpful for gaining that familiarity.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to improve the collaboration between development and operations teams. They also work on tasks such as automating software delivery, testing, and deployment. Familiarity with Azure Event Hubs can be useful for DevOps Engineers who work on projects that involve streaming data. This course may be helpful for gaining that familiarity.
For more career information including salaries, visit:
OpenCourser.com/course/n9mbqp/handling
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
Handling Streaming Data with Azure Event Hub.
Comprehensive guide to Apache Kafka, a distributed streaming platform. While it is not specific to Event Hubs, it provides a good foundation for understanding the concepts of streaming data and how to process it efficiently.
Covers how to build and deploy event-driven microservices using Azure Event Hubs and other Azure services.
Covers how to use Azure Event Hubs to ingest data into Azure Data Lake and Azure Synapse Analytics for analytics and reporting.
Provides a general overview of Azure services, including Event Hubs.
Covers how to use Azure Event Hubs to ingest data into Azure Machine Learning for model training and real-time predictions.
Provides a gentle introduction to Azure Event Hubs. It covers topics such as creating Event Hubs instances, sending and receiving events, and using Event Hubs with other Azure services.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n9mbqp/handling
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