Experience Apache Kafka, a widely used technology for scalable, distributed and fail-safe data pipelines.
With our expert-led training program,
designed to equip you with cutting-edge skills in modern application deployment and management.
Benefit from our wealth of experience from countless customer projects:
Experience a balanced mix of theory, live demonstrations and practical exercises.
Learn to understand and implement Kafka for different use cases to build efficient and reliable data pipelines for your organization.
Find your way around Kafka’s architecture and components and master your own Kafka-related challenges. Scale your data processing capabilities and improve data quality and accuracy.
Reduce downtime and ensure data availability with Kafka’s high availability and resilience features.
This training is aimed at developers, data engineers and anyone interested in Kafka, the distributed streaming platform that is changing the way streaming data is processed and analyzed. Whether you are an experienced data engineer or a newcomer to the world of big data, this course program will give you the knowledge and skills you need to harness the power of Kafka for your business.
Practical Applications That We Will Cover in the Training:
- 1
Implementing Kafka in real-world scenarios
- 2
Hands-on experience with Kafka producers and consumers
- 3
Performance tuning and security practices for Kafka
- 4
Managing Kafka clusters and troubleshooting common issues
- 5
Developing streaming applications with Kafka Streams and Faust
After The Course, You Will Be Able To:
- 1
Understand and implement Kafka for a variety of use cases
- 2
Navigate Kafka’s architecture and components
- 3
Utilize the Kafka Producer and Consumer APIs
- 4
Apply best practices for messaging and serialization
- 5
Effectively manage and monitor Kafka operations
- 6
The Apache Kafka training is not suitable for you if…
What our satisfied training participants say
A1 Telekom Austria AG
Reinhard Burgmann
Head of Data Ecosystem
Vattenfall
Bernard Benning
BA Heat
„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.
The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!
Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.“
VP Bank
Eisele Peer
Lead Architect Head of IT Integration Development
“The MLOps training exceeded our expectations!
It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.
This training not only provided us with knowledge but also practical skills that we can apply immediately.“
Your investment
- Combination of theory and practice with live demos and exercises for active skills development.
- Dive into the architecture and core components of Kafka and gain a comprehensive understanding of how the platform enables efficient and scalable data streaming.
- Explore the roles and interactions of Kafka producers, consumers and brokers and learn how they work together to ensure reliable and fault-tolerant data streaming.
- Master best practices for developing, deploying and monitoring Kafka to ensure the reliability, performance and security of your data stream solutions.
Get to know your trainers
Marvin Taschenberger
Hudhaifa Ahmed
Senior Lead Big Data Developer Berlin Territory Manager, Ultra Tendency
Matthias Baumann
Required hardware & infrastructure for your Kafka Training
- You will need a PC or Mac with a web browser and MS Teams.
- During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
- This VM has a running Kubernetes cluster on which you can test and execute the training instructions.
- You can access the machine via a browser or SSH if you wish and the network restrictions allow it.
