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using azure event hubs kafka endpoint: a comprehensive tutorial

azure event hubs provides a kafka endpoint, allowing you to use your existing kafka clients and applications with azure's scalable and robust event ingestion platform. this tutorial will guide you through setting up and using the event hubs kafka endpoint, covering various aspects with code examples in python.

*prerequisites:*

*azure subscription:* you need an active azure subscription. if you don't have one, you can create a free azure account.
*azure cli or azure powershell:* installed and configured for your azure subscription.
*python 3.6+:* for running the python code examples.
*confluent kafka python library:* install using `pip install confluent-kafka`.
*kafka client library (like `kafka-python`) :* (optional if using confluent kafka client) install using `pip install kafka-python`. while confluent's library is generally recommended for production, `kafka-python` is a simpler alternative if you're familiar with it and prefer it for basic tasks.
*familiarity with kafka concepts:* basic understanding of topics, producers, consumers, brokers.

*1. creating an event hubs namespace and event hub:*

an event hubs namespace is a container for multiple event hubs. you need to create both a namespace and an event hub. we'll use the azure cli for this.



*2. obtaining the connection string:*

you need the event hubs namespace connection string to authenticate your kafka clients. you can retrieve it via the azure cli or portal.

*azure cli:*



*azure portal:*

1. go to your event hubs namespace in the azure portal.
2. select "shared access policies" under "settings."
3. click on `rootmanagesharedaccesskey` (or any other policy with manage rights).
4. copy the "connection string--primary key" or "connection string--secondary key."

*important:* store the connection string securely!

*3. understanding the kafka endpoint:*

the event hubs kaf ...

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