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Apache Kafka v3 for Big Data Streaming - Python Hands On (Udemy.com)

Build End-to-End Real-Time Streaming Pipelines : Kafka, Flink, Elasticsearch, Kibana in Python - Big Data Architecture

Created by: Big Data Landscape

Last updated July 2026

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What you will learn

  • Master data ingestion: Efficiently process diverse data streams.
  • Unleash Kafka's power: Understand core concepts for optimal streaming.
  • Learn major CLIs: kafka-topics, kafka-console-producer, kafka-console-consumer...
  • Python + Kafka: Build practical skills for producers, consumers, Topics, Partitions, Brokers, and more.
  • Create your Producers and Consumers in Python to interact with Kafka
  • Real-world Twitter data: Ingest and scale data seamlessly into HDFS.
  • Streamline with Kafka and Flink: Craft end-to-end pipelines for real-time analytics.
  • Real-time Analytics and Visualization: Master the art of analyzing streaming data and visualizing insights using Elasticsearch and Kibana in your Kafka pipeline

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.0 out of 5higher than 6% of them
  • Reviews56#1,094 of 1,183 by number of reviews
  • Length2.7 hoursshorter than 74% of them
  • Last updatedJuly 2026more recently than 83% of them

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Course Description

Unleashing the Power of Apache Kafka and Flink: Cutting-Edge Hands-on Experience with real life case studies


This is the only updated Big Data Streaming Course using Kafka with Flink in python !

(Course newly recorded)


Discover the unrivaled potential of Apache Kafka and the hidden gem of data processing, Flink, in our dynamic course. While Flink may be lesser-known than Spark, it's a powerful tool that surpasses its counterparts in certain aspects.

We'll dive deep into Kafka's core concepts, equipping you with the knowledge to build robust streaming pipelines. But we won't stop there – we'll showcase Flink's prowess as we explore real-time data processing and analytics.

Rest assured, all hands-on exercises are meticulously crafted using the latest versions of Kafka and Flink. Forget about outdated code or compatibility issues – we ensure you're working with cutting-edge tools, ready to conquer the real world.

Although Flink may have a smaller community compared to Spark, this presents a unique opportunity for you to become an early adopter and join the pioneering minds pushing the boundaries of streaming analytics.


We'll guide you step-by-step as you build a complete streaming pipeline that captures live Twitter data, processes it in real-time, and unlocks valuable insights. With our carefully crafted exercises, you'll gain practical experience in ingesting, transforming, and analyzing Twitter data using the latest versions of Kafka and Flink.

Imagine harnessing the pulse of social media to gain actionable insights, all in real-time. From sentiment analysis to trending topics, you'll explore the limitless possibilities of Twitter data analytics.


So, step into the future of stream data processing with Kafka and Flink. Enroll now to gain an edge in the industry, with hands-on expertise on the latest versions of these powerful tools.


Don't miss out on this transformative learning experience – the world of real-time data awaits!

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Instructor Details

Big Data Landscape

Big Data Landscape is a team of technology experts passionate about unlocking the full potential of data and artificial intelligence. Our mission is to make complex technologies—including Big Data, Artificial Intelligence, Machine Learning, and Cloud Computing—accessible, practical, and understandable for individuals and organizations.

With a strong foundation in both data engineering and AI, our team combines real-world experience with industry-recognized certifications to deliver reliable, scalable, and intelligent solutions. We are committed to helping learners and businesses develop in-demand skills, implement modern data architectures, and leverage AI to drive innovation and smarter decision-making.

Our expertise spans across the modern data and AI ecosystem, including Big Data technologies such as Hadoop, Spark, Flink, Airflow, Hive, HBase, and Kafka, as well as Machine Learning, Natural Language Processing, and AI-driven applications. We also bring experience with cloud platforms, automation, and production-ready systems.

Beyond technology implementation, Big Data Landscape is dedicated to knowledge sharing, professional development, and empowering the community through educational content, certifications guidance, and practical insights aligned with industry standards.

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Reviews

4.0

56 ratings on Udemy

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By Mike Palei on 12/13/2024

The narration is not smooth, the explanation is very poor.

By Allen Abishek on 4/17/2024

there is no video on how to setup the 3 kafka nodes, it is just some notes. a guided video would have been more helpful

By Eve Colomila on 1/14/2024

I liked the handson section of real time stream processing ! I recommend this course for any Big Data engineer

By Sami Ghogo on 1/14/2024

Good course for mastering kafka as big data ingestion tool

By Glenn Sara on 10/5/2023

Great big data streaming project with complete code ! really interesting as a university project delivery

By Bhaavik Anala on 9/11/2023

Amazing course but I wonder why it not so popular, very helpful for my univerty big data project indeed it provide a complete streaming pipeline handson with Flink and elasticsearch , everything clair in python !

By Ahmed Samo on 9/11/2023

To be honest, Kafka is not easy to handle even with the basic course. But with the explanation well from instructor and rewatch it several times to catch the whole picture, you will find yourself have a great foundation to continue another course. I really liked the pace and the content of the course. Blend of theory and hands-on was impeccable. would recommend this course to everyone who is starting with Kafka.

By Walter Franky on 8/29/2023

Great Course with pratical handson big data ingestion easy to understand with Python ! thank you

By Sarwar Hayat on 8/26/2023

Your course is incomplete on so many levels. 1. No proper explanation of installation. 2. Nothing for setting up zookeeper. 3. Your create topic commands fail. 4. How come are you using vdi-data1 server in the bootstrap server instead of localhost. 5. When you are well aware that twitter api is not working. How come you left this piece in your code. This should throw error. cursor = tweepy.Cursor(api.search_tweets Im halfway and there are so many exiting problems in this course

By David Kamy on 8/10/2023

I'm thoroughly impressed with this Apache Kafka course on Udemy. The content is exceptional, offering practical Kafka-Python experience and a comprehensive project involving Kafka, Flink, and Elasticsearch. The course stays up-to-date with the latest code versions, enhancing its relevance. Highly recommended for anyone seeking an in-depth Kafka understanding and real-world application.

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Overall Score : 80 / 100