Real Time Streaming with Confluent, Mage and Clickhouse

Webinar Overview

Dive into the world of real-time data pipelines with our founder Peter Hanssens, as he presents and demonstrates how to build a seamless real-time data flow using Mage.ai, Confluent Kafka, and Clickhouse. Learn how to transform streaming data into actionable insights and create a real-time dashboard with Streamlit!

Presenter

Peter Hanssens

Position: Founder and Principal Engineer at Cloud Shuttle

Bio: Peter is the founder and principal engineer at Cloud Shuttle, a data-focused cloud consultancy. Leading a team of cloud engineers, he delivers valuable solutions to clients, specialising in data architecture and cloud technologies.

What You'll Learn

How to read data from a real-time API and stream it to Kafka using Confluent

Configuring Mage to process streaming data, including aggregations and transformations

Exporting processed data to Clickhouse for real-time analytics

Building a real-time dashboard with Streamlit for live data visualisation

Key Takeaways

Hands-on technical demonstrations by Peter Hanssens

Insights into using Mage for real-time data processing

Best practices for building scalable, real-time analytics pipelines

Who Should Attend

Whether you're a data engineer, developer, or tech enthusiast, this session will equip you with the skills to leverage real-time data processing for your projects.

Registration

RSVP Now!

Reserve your spot now for this thought-provoking live webinar!