Learn Apache Kafka with Python

In this online workshop you'll learn the basic components of Apache Kafka and how to get started with data streaming using Python.

Date: Wednesday December 6, 2023
Time: 9am PDT | 12pm EST | 6pm CET

Register below to secure your seat:

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What's in the Workshop Recipe?

Apache Kafka is the industry de-facto standard for data streaming. An open-source, scalable, highly available and reliable solution to move data across companies' departments, technologies or micro-services.

In this workshop you'll learn the basic components of Apache Kafka and how to get started with data streaming using Python. We'll dive deep, with the help of some prebuilt Jupyter notebooks, on how to produce, consume and have concurrent applications reading from the same source, empowering multiple use-cases with the same streaming data.

Finally we'll check how streaming data in Apache Kafka can be reshaped in real time, enabling new data stakeholders and, at the same time, satisfying regulatory needs.

Prepare for a Brain Upgrade

You will learn:

  • Apache Kafka main components
  • How to Produce data to Apache Kafka
  • How to Consume data from Apache Kafka
  • How to setup concurrent consumers
  • How multiple application can read from the same dataset
  • How to reshape the streaming data in real time

Prerequisities

Workshop host

Matty Stratton
Matty Stratton

Director, Developer Relations, Aiven

Matty Stratton is the Director of Developer Relations at Aiven, a well-known member of the DevOps community, founder and co-host of the popular Arrested DevOps podcast, and a global organizer of the DevOpsDays set of conferences.

Matty has over 20 years of experience in IT operations and is a sought-after speaker internationally, presenting at Agile, DevOps, and cloud engineering focused events worldwide. Demonstrating his keen insight into the changing landscape of technology, he recently changed his license plate from DEVOPS to KUBECTL.

He lives in Chicago and has three awesome kids, whom he loves just a little bit more than he loves Diet Coke.

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