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Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer and Conduktor Kafkademy

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Welcome to the Apache Kafka Series. Join a community of 130,000+ students learning Kafka.

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Welcome to the Apache Kafka Series. Join a community of 130,000+ students learning Kafka.

Apache Kafka has become the leading distributed data streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart and LinkedIn.

To learn Kafka easily, step-by-step, you have come to the right place. No prior Kafka knowledge is required

If you look at the documentation, you can see that Apache Kafka is not easy to learn...

Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone.

We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka. At the end of this course, you'll be productive and you'll know the following:

  • The Apache Kafka Ecosystem Architecture

  • The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more.

  • Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux 

  • Learn and Practice using the Kafka Command Line Interface (CLI)

  • Code Producer and Consumers using the Java API 

  • Real world project using Wikimedia as a source of data for a producer and OpenSearch as a sink for our consumer

  • Overview of Advanced APIs (Kafka Connect, Kafka Streams)

  • Real World Case Studies and Big  Use cases

  • Overview of Advanced Kafka for Administrators

  • Advanced Topic Configurations

Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news. Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka

The Kafka for Beginners course is the best place to start your Kafka learning journey... Ask other students.

  • 5 stars: "That's one of the most high-quality on-line courses I ever took" – Paul L.

  • 5 stars: "This training was awesome and learned many things about KAFKA though having 0 years of experience in this technology" – Puneet G.

  • 5 stars: "Outstanding on all fronts. I wish all courses were that well presented. I especially appreciate the hands-on sections. I was able to get everything up and running with ease. Highly recommend this course and this instructor. " – David G.   

You can take this course risk-free and if you don't like it, you can get a refund anytime in the first 30 days.

Instructor

My name is Stéphane Maarek, I am passionate about Data Streaming & Cloud Computing, and I will be your instructor in this course. I teach about Apache Kafka, the Kafka ecosystem, and Kafka Certifications, focusing on helping my students improve their professional proficiencies. I am also the co-founder of Conduktor: an enterprise Apache Kafka platform & UI to help everyone use Kafka.

I have already taught

With Apache Kafka becoming much more than a buzzword out there, I've decided it's time for students to learn how to be Kafka professionals properly. So, let’s kick start the course. You are in good hands.

This Course Also Comes With:

  • Lifetime Access to All Future Updates

  • A responsive instructor in the Q&A Section

  • Links to interesting articles, and lots of good code to base your next applications onto

  • Udemy Certificate of Completion Ready for Download

This is the course that could improve your career.

Apache Kafka is a skill in high demand and there are not enough people to fulfill all the open positions. You can boost your income, take on new roles and fun challenges. Many of my students are now the Kafka experts of their companies. You can be the next.

I hope to see you inside the course.

Note: Looking for more advanced Kafka concepts? There are many volumes in the Apache Kafka Series:

  • Learn Kafka for Beginners v2 (great to start)

  • Kafka Connect Hands On Learning

  • Kafka Streams for Data Processing

  • KSQL on ksqlDB - Hands On.

  • Kafka Cluster Setup & Administration

  • Confluent Schema Registry & Kafka REST Proxy

  • Kafka Security (

Enroll now

What's inside

Learning objectives

  • Understand apache kafka ecosystem, architecture, core concepts and operations
  • Master concepts such as topics, partitions, brokers, producers, consumers
  • Start a personal kafka development environment
  • Learn major clis: kafka-topics, kafka-console-producer, kafka-console-consumer, kafka-consumer-groups, kafka-configs
  • Create your producers and consumers in java to interact with kafka
  • Program a real world twitter producer & elasticsearch consumer
  • Extended apis overview (kafka connect, kafka streams), case studies and big data architecture
  • Practice and understand log compaction

Syllabus

Kafka Introduction
Course Introduction
Apache Kafka in 5 minutes
Course Objectives
Read more
Welcome! - About your instructor
Code Download
====== Kafka Fundamentals ======
Kafka Fundamentals
Kafka Theory
Topics, Partitions and Offsets
Producers and Message Keys
Consumers & Deserialization
Consumer Groups & Consumer Offsets
Brokers and Topics
Topic Replication
Producer Acknowledgements & Topic Durability
Zookeeper
Kafka KRaft - Removing Zookeeper
Theory Roundup
Quiz on Theory
Starting Kafka
Important: Starting Kafka & Lectures Order
FAQ for Setup Problems
Starting Kafka with Conduktor - Multi Platform
Mac OS X - Download and Setup Kafka in PATH
Mac OS X - Start Zookeeper and Kafka
Mac OS X - Using brew
Linux - Download and Setup Kafka in PATH
Linux - Start Zookeeper and Kafka
Windows WSL2 - Download Kafka and PATH Setup
Windows WSL2 - Start Zookeeper & Kafka
Windows WSL2 - How to Fix Problems
Windows WSL2 - Extra Instructions
Windows non-WSL2 - Start Zookeeper and Kafka
Starting Kafka without Zookeeper
Note: try out Kafka KRaft
Mac OS X - Start Kafka in KRaft mode
Linux - Start Kafka in KRaft mode
Windows WSL2 - Start Kafka in KRaft mode
CLI (Command Line Interface) 101
CLI Introduction
WINDOWS WARNING: PLEASE READ
Kafka Topics CLI
Kafka Console Producer CLI
Kafka Console Consumer CLI
Kafka Consumers in Group
Kafka Consumer Groups CLI
Resetting Offsets
Quiz on CLI
Kafka UI - Conduktor Demo
Conduktor - Demo
Kafka Java Programming 101
Kafka SDK List
Creating Kafka Project
Java Producer
Java Producer Callbacks
Java Producer with Keys
Java Consumer
Java Consumer - Graceful Shutdown
Java Consumer inside Consumer Group
Java Consumer Incremental Cooperative Rebalance & Static Group Membership
Java Consumer Incremental Cooperative Rebalance - Practice
Java Consumer Auto Offset Commit Behavior
Programming - Advanced Tutorials
Quiz on Java Programming 101
===== Kafka Real World Project =====
Real World Project Overview
Real World Exercise - Solution
Kafka Wikimedia Producer & Advanced Producer Configurations
IMPORTANT: Start Local Kafka with Conduktor using Docker
Wikimedia Producer Project Setup
Wikimedia Producer Implementation
Wikimedia Producer Run
Wikimedia Producer - Producer Config Intros
Producer Acknowledgements Deep Dive
Producer Retries
Idempotent Producer
Safe Kafka Producer Settings
Wikimedia Producer Safe Producer Implementation
Kafka Message Compression
linger.ms and batch.size Producer settings
Wikimedia Producer High Throughput Implementation
Producer Default Partitioner & Sticky Partitioner
[Advanced] max.block.ms and buffer.memory
Quiz on Producer Configurations
OpenSearch Consumer & Advanced Consumer Configurations
OpenSearch Consumer - Project Overview
OpenSearch Consumer - Project Setup
Setting up OpenSearch on Docker
Setting up OpenSearch on the Cloud
OpenSearch 101
OpenSearch Consumer Implementation - Part 1
OpenSearch Consumer Implementation Part 2
Consumer Delivery Semantics
OpenSearch Consumer Implementation Part 3 - Idempotence
Consumer Offsets Commit Strategies
OpenSearch Consumer Implementation Part 4 - Delivery Semantics
OpenSearch Consumer Implementation Part 5 - Batching Data
Consumer Offset Reset Behavior

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills such as working knowledge of Kafka and related technologies, which is standard in industry
Taught by Stephane Maarek, a recognized expert in Kafka
Covers fundamentals and advanced topics, providing a solid foundation for beginners and intermediate learners
Offers hands-on projects, giving learners practical experience with Kafka
Prerequisites, such as a basic understanding of Java, may limit accessibility for some learners
Focuses on Java programming, assuming learners have prior knowledge

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Reviews summary

Excellent kafka course for beginners

According to students, this course on Apache Kafka for beginners is very well-received due to engaging assignments and advanced configuration. Students especially appreciated getting hands-on experience with examples. They found the instructor's knowledge to be impressive.
Learners appreciated that the course provided more than one setup solution.
"I also enjoyed that more than one setup solution is provided."
Learners enjoyed the instructor's knowledge and teaching style.
"Your knowledge is impressive."
Students loved that the course included many opportunities to get hands-on experience with examples.
"I enjoyed getting our hands dirty with examples."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Apache Kafka Series - Learn Apache Kafka for Beginners v3 with these activities:
Kafka Ecosystem Overview
Reviewing this material will help you more fully understand the course.
Show steps
  • Read the Kafka Documentation
  • Watch YouTube videos on Kafka
  • Read the Kafka blog
Review Java programming basics
Ensure you have a solid foundation in Java.
Show steps
  • Go through Java tutorials or documentation.
  • Practice writing simple Java programs.
  • Review Java concepts like data types, loops, and methods.
Kafka: The Definitive Guide
Gain a comprehensive theoretical understanding of Kafka.
Show steps
  • Read through the chapters in order.
  • Take notes on the key concepts.
  • Complete the practice exercises.
Show all three activities

Career center

Learners who complete Apache Kafka Series - Learn Apache Kafka for Beginners v3 will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are in charge of designing, implementing, maintaining, and servicing big data pipelines. This course can help a Data Engineer get up to speed on Kafka, so they can use it to ingest, store, and distribute large amounts of streaming data. Apache Kafka is a massively scalable, high throughput, low-latency platform for handling real-time data feeds. Data Engineers can leverage the skills taught in this course to maximize the value of streaming data in the organization.
Data Architect
Data Architects design and build data architectures to meet the needs of an organization. This includes designing data models, selecting and implementing data storage technologies, and developing data integration and processing solutions. Apache Kafka is a popular technology for building real-time data architectures. By taking this course, Data Architects can gain the skills and knowledge they need to design and implement Kafka-based solutions.
Data Scientist
Data Scientists use data to solve business problems and improve decision-making. Apache Kafka is a powerful tool for collecting, storing, and processing large amounts of data. This course can help Data Scientists learn how to use Kafka to build data pipelines and develop real-time data applications.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can benefit Software Engineers who want to learn about Apache Kafka, a popular platform for building real-time data applications. Kafka is used by many large organizations to process billions of events per day. Software Engineers who take this course will learn how to use Kafka to build scalable, reliable, and high-performance data applications.
Cloud Engineer
Cloud Engineers design, build, and maintain cloud-based systems. This course can benefit Cloud Engineers who want to learn about Apache Kafka, a popular platform for building real-time data applications in the cloud. Kafka is used by many large organizations to process billions of events per day. Cloud Engineers who take this course will learn how to use Kafka to build scalable, reliable, and high-performance data applications in the cloud.
Big Data Architect
Big Data Architects design and build big data architectures to meet the needs of an organization. This includes designing data models, selecting and implementing data storage technologies, and developing data integration and processing solutions. Apache Kafka is a popular technology for building real-time big data architectures. By taking this course, Big Data Architects can gain the skills and knowledge they need to design and implement Kafka-based solutions.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. Apache Kafka is a powerful tool for collecting, storing, and processing large amounts of data. This course can help Data Analysts learn how to use Kafka to build data pipelines and develop real-time data applications.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This includes automating build, test, and deployment processes, as well as monitoring and managing production systems. Apache Kafka is a popular platform for building real-time data applications. This course can help DevOps Engineers learn how to use Kafka to build and manage scalable, reliable, and high-performance data applications.
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. This course can benefit Systems Engineers who want to learn about Apache Kafka, a popular platform for building real-time data applications. Kafka is used by many large organizations to process billions of events per day. Systems Engineers who take this course will learn how to use Kafka to build scalable, reliable, and high-performance data applications.
Database Administrator
Database Administrators manage and maintain databases. This course can benefit Database Administrators who want to learn about Apache Kafka, a popular platform for building real-time data applications. Kafka is used by many large organizations to process billions of events per day. Database Administrators who take this course will learn how to use Kafka to build scalable, reliable, and high-performance data applications.
Information Security Analyst
Information Security Analysts design and implement security measures to protect an organization's data and systems. This course can benefit Information Security Analysts who want to learn about Apache Kafka, a popular platform for building real-time data applications. Kafka is used by many large organizations to process billions of events per day. Information Security Analysts who take this course will learn how to use Kafka to build secure and reliable data applications.
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses to meet the needs of an organization. This includes designing data models, selecting and implementing data storage technologies, and developing data integration and processing solutions. Apache Kafka is a popular technology for building real-time data warehouses. By taking this course, Data Warehouse Architects can gain the skills and knowledge they need to design and implement Kafka-based solutions.
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models to solve business problems. Apache Kafka is a powerful tool for collecting, storing, and processing large amounts of data. This course can help Machine Learning Engineers learn how to use Kafka to build data pipelines and develop real-time machine learning applications.
Technical Architect
Technical Architects design and build software systems to meet the needs of an organization. This includes designing system architectures, selecting and implementing technologies, and developing software solutions. Apache Kafka is a popular platform for building real-time data applications. This course can help Technical Architects learn how to use Kafka to build scalable, reliable, and high-performance data applications.
Enterprise Architect
Enterprise Architects design and build enterprise-wide software systems. This includes designing system architectures, selecting and implementing technologies, and developing software solutions. Apache Kafka is a popular platform for building real-time enterprise-wide data applications. This course can help Enterprise Architects learn how to use Kafka to build scalable, reliable, and high-performance data applications.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Apache Kafka Series - Learn Apache Kafka for Beginners v3.
Provides comprehensive coverage of Kafka's architecture, components, and use cases. It's a valuable resource for anyone looking to gain a deep understanding of Kafka and how to use it effectively.
Is an updated and revised edition of the previous book. It covers the latest features and developments in Kafka, making it a valuable resource for anyone who wants to stay up-to-date with the latest Kafka trends.
Provides a comprehensive guide to using Kafka Connect for data integration. It covers everything from the basics of Kafka Connect to advanced topics such as security and scalability.
Provides a broad overview of Apache Kafka and its role in the big data ecosystem. It covers topics such as Kafka's architecture, integration with other big data technologies, and use cases for Kafka in various industries.
Practical guide for developers who want to get started with Apache Kafka. It covers the basics of Kafka, including its architecture, concepts, and development tools, making it an excellent choice for developers new to Kafka.
While not focused specifically on Kafka, this book provides valuable background knowledge on the principles and patterns of designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing, which are relevant to understanding and using Kafka effectively.

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