Apache Kafka Complete Training - Streaming & Data Pipeline Mastery
Master Apache Kafka with our immersive course designed for real-time data enthusiasts! Dive into messaging systems, producers/consumers dynamics, reliable delivery mechanisms & build powerful data pipelines. Learn from experts to harness the full potential of streaming data for impactful insights & decision-making.
- Available in:
- Malaysia
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Target Audience
Methodologies
Subsidies

What you'll learn
- Construct efficient Kafka producers and consumers for message handling
- Comprehend the role of Zookeeper in Apache Kafka's ecosystem
- Implement reliable data delivery systems using Apache Kafka
- Administer a Kafka environment effectively through topic management and performance monitoring
- Install and configure Apache Kafka brokers both locally and in cloud environments
- Understand the fundamental concepts of messaging systems and Apache Kafka
- Gain deep knowledge of Kafka internals such as cluster membership and replication
- Build scalable data pipelines utilizing Kafka Connect and stream-processing frameworks
Why should you attend?
Apache Kafka is a robust, open-source stream processing platform that enables real-time data feeding, processing, and analytics. It's designed to handle high volumes of data and support high-throughput applications. This course begins with an introduction to messaging systems, focusing on Apache Kafka's role in the modern data ecosystem and its workflow. We'll cover installation procedures, including configuring Kafka brokers and deploying Kafka in cloud environments. The crucial role of Zookeeper in managing cluster state and basic operations is also discussed. Building on this foundation, we delve into Kafka producers and consumers—key components for writing and reading messages within Kafka. You'll learn how to construct producers, configure them for optimal performance, create consumers, and manage commits and offsets. Understanding Kafka's internals will provide insights into cluster membership, replication mechanisms, request processing, and physical storage considerations. The course emphasizes reliable data delivery by exploring system reliability validation techniques. We also tackle building resilient data pipelines with Kafka Connect and stream-processing frameworks while addressing critical factors like timeliness, throughput, and security. Cross-cluster data mirroring techniques are explained to ensure robust multicluster architectures. Finally, administering Kafka topics, consumer groups, dynamic configurations, along with monitoring using Kafka APIs and metrics are covered to equip you with comprehensive administration skills.
Course Syllabus
Day 1 - Kafka Fundamentals and Core Components
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Pipelines and Stream Processing
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Instructor
Instructor
Instructor
Instructor Reviews
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
- Public pricing: applies for individuals signing up from different companies.
- Corporate pricing: applies if a company wants to have an intake for its employees only.
- Training provider pricing: applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.
We will keep you updated on the status of the intake after you enroll.
Courses you may like
Why should you attend?
Apache Kafka is a robust, open-source stream processing platform that enables real-time data feeding, processing, and analytics. It's designed to handle high volumes of data and support high-throughput applications. This course begins with an introduction to messaging systems, focusing on Apache Kafka's role in the modern data ecosystem and its workflow. We'll cover installation procedures, including configuring Kafka brokers and deploying Kafka in cloud environments. The crucial role of Zookeeper in managing cluster state and basic operations is also discussed. Building on this foundation, we delve into Kafka producers and consumers—key components for writing and reading messages within Kafka. You'll learn how to construct producers, configure them for optimal performance, create consumers, and manage commits and offsets. Understanding Kafka's internals will provide insights into cluster membership, replication mechanisms, request processing, and physical storage considerations. The course emphasizes reliable data delivery by exploring system reliability validation techniques. We also tackle building resilient data pipelines with Kafka Connect and stream-processing frameworks while addressing critical factors like timeliness, throughput, and security. Cross-cluster data mirroring techniques are explained to ensure robust multicluster architectures. Finally, administering Kafka topics, consumer groups, dynamic configurations, along with monitoring using Kafka APIs and metrics are covered to equip you with comprehensive administration skills.
What you'll learn
- Construct efficient Kafka producers and consumers for message handling
- Comprehend the role of Zookeeper in Apache Kafka's ecosystem
- Implement reliable data delivery systems using Apache Kafka
- Administer a Kafka environment effectively through topic management and performance monitoring
- Install and configure Apache Kafka brokers both locally and in cloud environments
- Understand the fundamental concepts of messaging systems and Apache Kafka
- Gain deep knowledge of Kafka internals such as cluster membership and replication
- Build scalable data pipelines utilizing Kafka Connect and stream-processing frameworks
Course Syllabus
Day 1 - Kafka Fundamentals and Core Components
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Pipelines and Stream Processing
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Instructor Reviews
Tasmeea Rahman
Data Analytics & Engineering Training Specialist"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."
"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."
"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Target Audience
Methodologies
Subsidies

Ratings and Reviews
Instructors
Courses you may like
FAQ
Frequently Asked Questions About This Course
- Public pricing: applies for individuals signing up from different companies.
- Corporate pricing: applies if a company wants to have an intake for its employees only.
- Training provider pricing: applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.
We will keep you updated on the status of the intake after you enroll.
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