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Feb 28, 2023

The Stream — February 2023 edition

Build a simple event-driven system to get ML predictions with Python and Apache Kafka

Mike Rosam
Mike Rosam
CEO & Co-Founder
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Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Data integration, simplified

Ingest, pre-process and load high volumes of data into any database, lake or warehouse, without overloading your systems or budgets.

Explore the platformBook a demo

The 4 Pillars of a Successful AI Strategy

Foundational strategies that leading companies use to overcome common obstacles and achieve sustained AI success.
Get the guide

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects.
Get the guide
Quix is a performant, general-purpose processing framework for streaming data. Build real-time AI applications and analytics systems in fewer lines of code using DataFrames with stateful operators and run it anywhere Python is installed.
Book a demo with one of our experts

Build a simple event-driven system to get ML predictions with Python and Apache Kafka

ML predictions with Python and Apache Kafka.

Our CTO Tomas Neubauer has put together a tutorial for you to learn how to continuously stream email records from a CSV file, get an ML inference for each record, and then stream the results back to a new Kafka topic.

Dig into the tutorial

Kafka Summit agenda now public

Kafka summit green banner.

The Apache Kafka and data streaming community will converge in London for another Kafka Summit. The line-up this year looks excellent. There will also be a pre-conference Hackathon to look forward to. Our CTO Tomas Neubauer will also be on stage on the second day to talk about a case study in cyclist crash detection. Hope to see you there!

Take a look at the line-up

More news and insights

  • Stream Processing vs Real-time OLAP vs Streaming Database - Read more
  • The MAD (Machine Learning / AI / Data) Landscape. Quix has been included. Take a look
  • David Heinemeier Hansson reckons 37Signals will save $7mil in cloud costs by moving off the cloud (Clexit™️) - Read more

Meme of the Month

Person sliding on snow.

Our SRE Lajos Nagy on our recent team trip to the Czech mountains 😆

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Mike Rosam
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Mike Rosam
CEO & Co-Founder

Mike Rosam is Co-Founder and CEO at Quix, where he works at the intersection of business and technology to pioneer the world's first streaming data development platform. He was previously Head of Innovation at McLaren Applied, where he led the data analytics product line. Mike has a degree in Mechanical Engineering and an MBA from Imperial College London.

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects
Get the guide

Check out the repo

Our Python client library is open source, and brings DataFrames and the Python ecosystem to stream processing.

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Interested in Quix Cloud?

Take a look around and explore the features of our platform.

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Interested in Quix Cloud?

Take a look around and explore the features of our platform.

See product features

Data integration, simplified

Ingest, pre-process and load high volumes of data into any database, lake or warehouse, without overloading your systems or budgets.

Explore the platformBook a demo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

Python stream processing, simplified

Pure Python. No JVM. No wrappers. No cross-language debugging. Use streaming DataFrames and the whole Python ecosystem to build stream processing applications.

Explore the platformQuix Streams repo

The 4 Pillars of a Successful AI Strategy

Foundational strategies that leading companies use to overcome common obstacles and achieve sustained AI success.
Get the guide

Guide to the Event-Driven, Event Streaming Stack

Practical insights into event-driven technologies for developers and software architects.
Get the guide

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