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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.

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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.

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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
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Extracting Events for Archiving and Batch Processing
Extracting Events for Streaming Processing and Analytics

Good to know

Know what's good
, what to watch for
, 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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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
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
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
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
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Show all six activities
Build a Real-time Data Streaming Application
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
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
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

Career center

Learners who complete Handling Streaming Data with Azure Event Hub will develop knowledge and skills that may be useful to these careers:
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 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.
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.
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.
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.
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 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 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.
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.
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 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.
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.
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.
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 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.

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.
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.

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