Name: Azure Event Hubs
Rating: 6.8 (4 reviews)
Author: Microsoft

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Event Hubs is a managed, real-time data ingestion service that’s used to stream millions of events per second from any source to build dynamic data pipelines and respond to business challenges. Users can continue to process data during emergencies using the geo-disaster recovery and geo-replication features. It can be integrated with other Azure services to unlock insights. Existing Apache Kafka clients and applications can be allowed to talk to Event Hubs without any code changes, producing a managed Kafka experience without having to manage clusters.

Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.

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Azure Event Hubs

Data Pipeline

Shubha Vijayasarathy joins Scott Hanselman to discuss Azure Event Hubs, which makes data ingestion simple, secure, and scalable. As a distributed streaming platform, Event Hubs enables you to stream your data from any source—storing and processing millions of events per second— so you can build dynamic data pipelines and respond to business challenges in real time. 

With Azure Event Hubs for Apache Kafka, we're bringing together two powerful distributed streaming platforms, so you can access the breadth of Kafka ecosystem applications without having to manage servers or networks. Event Hubs for Kafka provides a Kafka endpoint so that any Kafka client running Kafka 1.0 or newer protocols can publish/subscribe events to/from Event Hubs with a simple configuration change.
[06:45] Demo Start 

Azure Event Hubs docs
https://aka.ms/azfr/495/01

Azure Event Hubs samples (GitHub)
https://aka.ms/azfr/495/02

Azure Event Hubs overview
https://aka.ms/azfr/495/03

Azure Event Hubs pricing
https://aka.ms/azfr/495/04

Announcing the general availability of Azure Event Hubs for Apache Kafka® (blog post)
https://aka.ms/azfr/495/05

Create a free account (Azure)
https://aka.ms/azfr/495/free

Azure Event Hubs for Apache Kafka | Azure Friday

This demo shows how to use Strimzi to deploy an Apache Kafka cluster on Kubernetes and configure Mirror Maker 2 in order to mirror topics from a Kafka cluster to Azure Event Hubs and consuming from there.
This is part of the "Strimzi: running your Apache Kafka cluster on Kubernetes" session delivered by Paolo Patierno (https://twitter.com/ppatierno) at DevDay.be 2020 (https://www.devday.be/). The complete session is available here https://www.youtube.com/watch?v=RyJqt139I94&t=17067s
The source code and the reference to the slides deck are available on the following GitHub repo: https://github.com/ppatierno/devday-2020-strimzi-aks-eventhub

Apache Kafka to Azure Event Hubs

Webinar: How to Stream IoT MQTT Messages Into the Azure Event Hubs Service

This month’s in-depth topic:  Get change notifications delivered via Azure Event Hubs.  Brief introduction to Microsoft Graph change notifications (WebHooks) followed by a change notifications delivered via Azure Event Hubs demo.   This new Microsoft Graph platform capability gives developers using change notification features in Microsoft Graph the option to get change notifications delivered to their applications more quickly and at scale using Azure Event hub. An end-to-end demo steps viewers through provisioning and configuration of all necessary resources.  Microsoft Program Manager presenters - George Juma and Kalyan Krishna. This session was recorded on April 15, 2021.  Live and in chat Q&A throughout call.  

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Get Change notifications delivered via Azure Event Hubs – April 2021

IOT Demo

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Apache Kafka

Amazon Kinesis

AWS IoT Analytics

AWS IoT, duplicate

Azure Event Hubs 2023-10-27 01:01:13

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Data Pipeline Tools

We are using it to queue the data for further processing on different services. As data retention is being maintained by the Azure Event Hubs we can process that data whenever is required as per the retention condition.

message queuing
data processing for notification.
Handling large volumes of data from multiple sources.

pricing should be less
integration with the services should be enhanced.
Deduplication functionality should be there in Azure Event Hubs

reducing the cost as you don't need to create a solution which is scalable
increasing the productivity of the solution.
customer satisfaction can be increased by integrating it as a solution.

Amazon Kinesis, AWS IoT Analytics, Apache Kafka

Azure Event Hubs

Overview

What is Azure Event Hubs?