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  1. Courses
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  3. Apache Kafka - An Introduction

Apache Kafka - An Introduction

This course introduces the core concepts and architecture of Apache Kafka, guiding learners. This course aims to provide a solid foundation in Apache Kafka, enabling participants to understand its architecture, core concepts, and operational mechanic

Soheil Haddadi
Soheil Haddadi
Data Science | core | 1 hour |   Published: Aug 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
98.9%RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

This course on Apache Kafka provides a comprehensive introduction to its core concepts, architecture, and operational mechanics, equipping participants with the skills needed to leverage this powerful stream processing platform. Learners will gain a deep understanding of Kafka's architecture and its integration into modern data environments, enabling them to set up and configure Kafka clusters for optimal performance. They will also explore Kafka's messaging system, learning to create and subscribe to topics effectively, and delve into stream processing applications using Kafka Streams. Through interactive sessions and practical exercises, participants will master real-time data management and processing, preparing them to apply Kafka's capabilities in various data-driven scenarios.

Skills You Will Gain

Apache Kafka
Data Pipelines
Kafka Clusters
Messaging System
Real-time Data
Stream Processing

Learning Outcomes (At the end of this program you will be able to)

  • Describe Apache Kafka’s architecture and its components, enhancing data pipeline efficiency.
  • Configure and manage Kafka clusters, ensuring high availability and fault tolerance.
  • Apply (Create and use) topics, publishers, and subscribers to facilitate real-time data exchange.
  • Implement basic stream processing applications using Kafka Streams, addressing real-world data challenges.

Prerequisites

Learners are expected to have a basic understanding of programming concepts and familiarity with the command line. No prior experience with Apache Kafka is required, but having a general interest in messaging systems and real-time data processing will be beneficial.

Who Should Attend

This course is designed for aspiring data engineers, software developers interested in data processing, and IT professionals looking to diversify into data engineering. It also targets data scientists seeking to understand real-time analytics platforms and technical managers overseeing data-driven projects.

Curriculum

Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Introduction to Apache Kafka
2Module 2: ETL Kafka Core Operations
3Module 3: Stream Processing with Kafka
Soheil Haddadi

Soheil Haddadi

Soheil is a Postdoctoral Researcher with a strong academic foundation in Control and Automation Systems Engineering, specializing in Artificial Intelligence. His expertise spans across Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics. Soheil has successfully applied his skills in both industry and research environments, contributing to advancements in AI.

Currently, as a Postdoctoral Researcher, Soheil is dedicated to pushing the boundaries of AI. His technical proficiency in Python, SQL, TensorFlow, and Keras, combined with a deep understanding of AI methodologies, has enabled him to deliver innovative solutions and insights. His prior work includes leading diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation for quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector.

Soheil’s experience in data analysis and visualization further enhances his comprehensive understanding of how AI can address complex problems and create tangible value. His contributions are a testament to his dedication to advancing AI research and its real-world applications.

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Segment 05: Kafka Topics and Partitions

Segment 06: Producing and Consuming Messages

Segment 07: Kafka Cluster Management

Segment 08: Introduction to Kafka Streams

Segment 09: Building Your First Stream Processing Application

Segment 10: Advanced Stream Processing

Segment 11: Congratulations and Continuous Learning Journey

Segment 01: Introduction to the Course & Meet Your Instructor

Segment 02: What is Apache Kafka?

Segment 03: Kafka Architecture Explained

Segment 04: Setting Up Your First Kafka Cluster