Quix Academy

Free course: How to become a Streaming Data Engineer

Learn how to capitalize on data by processing it as fast as it’s produced. The first online course where you will learn how to build real-time data processing pipelines, including feature engineering, pre-computations, inference, and real-time machine learning all using a pure Python client library.

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Episodes

Work through each episode of the course to gain the valuable knowledge required to become a Streaming Data Engineer. Each episode page provides more details on what to expect from each episode, along with any pre-reading and useful resources to help you along the way.

Episode

Coming soon

Coming

June 6, 2024

min

Jun 6, 2024

Introduction to stream processing

This first episode in the course is an introduction to stream processing. You’ll learn some fundamental concepts and will have an understanding of why and when to use stream processing. There will be a practical section showing you how to get started with producing, consuming and transforming data.

More details

Episode

Coming soon

Coming

July 3, 2024

min

Jul 3, 2024

Stateful data transformation basics

This second episode in the course covers the basics of stateful transformations. You’ll learn the concepts, understand why state is useful and often required and lastly get to grips with state in your code.

More details

Episode

Coming soon

Coming

min

Stateful use case - downsampling (InfluxDB)

The third episode in the course builds on the last episode and introduces time series data. Tomas covers a use case for stateful processing, downsampling data and storing it in InfluxDB.

More details

More episodes announced soon... 👀