How to use Python for real time data streaming in Apache Kafka

Did you know that companies like LinkedIn, Netflix, and Uber process billions of events daily using Apache Kafka? When combined with Python, it becomes a powerful tool for building efficient and scalable data pipelines.

In this video, Alvaro Justus, Solutions Architect at BIX Tech, walks you through how to set up and use Python with Apache Kafka for real-time data streaming. We'll cover:

00:00 Basics of data streaming ✅
01:11 Overview of Apache Kafka and its role in data processing ✅
01:23 Introducing a business case ✅
01:51 Setting up the environment with Docker, Kafka, and PostgreSQL ✅
02:14 Implementing a producer that generates synthetic orders and sends them to Kafka ✅
03:16 Developing a consumer that processes orders and stores them in a database ✅
04:17 Building an interactive Streamlit dashboard to visualize real-time metrics and insights ✅
06:11 Putting everything to practice ✅
09:35 Wrapping up ✅

By the end of this video, you'll have a fully functional real-time data streaming pipeline running with Python and Kafka!

📌 Ready to take your real-time streaming to the next level? Check out our video on how to build a streaming analytics application with Kafka and Flink!

Learn more about BIX Tech and how we help companies innovate with software development, data engineering, and artificial intelligence!

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BIX, with over 1,000 projects delivered, is fueled by the passion to empower startups and companies to unlock their full potential through technology. We craft tailored solutions in data, business intelligence, artificial intelligence, software, and nearshore, intelligently solving complex challenges with scalability at the forefront.

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