Kafka is a real-time data pipeline processor. Its high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures.
Discover the future of data streaming with our hands-on, 2-day Apache Kafka training course designed specifically for experienced Java developers. Become an expert in harnessing the potential of fast data and streaming systems and learn how to navigate the complexities of modern streaming architectures. With practical labs and real-world examples, you’ll be immersed in the cutting-edge world of Kafka and Java development.
Throughout the course you’ll explore the ins and outs of Apache Kafka and learn how it compares to other queue systems like JMS and MQ. You’ll learn about Kafka’s unique architecture and understand how to effectively produce and consume messages with Kafka & Zookeeper. Through hands-on labs, you’ll gain experience in scaling Kafka, navigating multiple data centers, and implementing disaster recovery solutions, while exploring essential Kafka utilities.
You’ll also learn the powerful Kafka APIs and become proficient in configuration parameters, Producer and Consumer APIs, as well as advanced features such as message compression and offset management. Gain hands-on with Kafka, including benchmarking Producer send modes, comparing compression schemes, and managing offsets. Experience real-world applications like Clickstream processing to solidify your expertise. Then you’ll round off your Kafka journey with an in-depth look at the Kafka Streams API, monitoring, and troubleshooting techniques. Learn how to optimize your Kafka deployment with best practices for hardware selection, cluster sizing, and Zookeeper settings.
By the end of this course you’ll be equipped with the core skills required to tackle your next Kafka project with confidence.
- Price: $1,895.00
- Duration: 2 days
- Delivery Methods: Virtual
| Date | Time | Price | Option |
|---|---|---|---|
| 12/05/2024 | 10:00 AM - 06:00 PM CT | $1,895.00 |
For questions call: (469) 721-6100
Why choose
TOPTALENT?
- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
- Access an expansive range of over 3,000 training courses with a strong focus on Information Technology, Business Applications, and Leadership Development.
- Have confidence in an exceptional 95% approval rating from our students, reflecting outstanding satisfaction with our course content, program support, and overall customer service.
- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
We can collaborate with you to tune this course and level of coverage to target the skills you need most. Course agenda, topics and labs are subject to adjust during live delivery in response to student skill level, interests and participation.
Introduction to Streaming Systems
- Understanding Fast data
- Streaming terminologies
- Understanding at-least-once / at-most-once / exactly-once processing patterns
- Popular streaming architectures
- Lambda architecture
- Streaming platforms overview
- Lab: Hands-on first look at Kafka
Introducing Kafka
- Comparing Kafka with other queue systems (JMS / MQ)
- Kafka Architecture
- Kaka concepts: Messages, Topics, Partitions, Brokers, Producers, commit logs
- Kafka & Zookeeper
- Producing messages
- Consuming messages
- Consumers, Consumer Groups
- Message retention
- Scaling Kafka
- Kafka across multiple data centers and disaster recovery
- Lab: Getting Kafka up and running
- Lab: Using Kafka utilities
Using Kafka APIs
- Configuration parameters
- Producer API – sending messages to Kafka
- Consumer API – consuming messages from Kafka
- Producer send modes
- Message compression
- Commits , Offsets, Seeking
- Managing offsets – auto commit / manual commit
- Lab: Writing Producer / Consumer
- Lab: Benchmarking Producer send modes
- Lab: Comparing compression schemes
- Lab: Managing offsets
- Lab: Clickstream processing
Kafka Streams API
- Introduction to Kafka Streams library
- Features and design
- Streams concepts: KStream / KTable / KStore
- Streaming operations (transformations, filters, joins, aggregations)
- Using Streams API: foreach / filter / map / groupby
- Lab: Kafka Streaming APIs
Monitoring & Troubleshooting Kafka
- Monitoring tools overview
- Monitoring Kafka
- Cluster level and host level monitoring
- Identifying performance bottlenecks
- Troubleshooting common Kafka issues
Bonus Content / Time Permitting
Kafka Best Practices
- Avoiding common mistakes
- Hardware selection
- Cluster sizing
- Partition sizing
- Zookeeper settings
- Compression and batching
- Message sizing
- Monitoring and instrumenting
- Troubleshooting
Working in a hands-on learning environment you’ll learn to:
- Implement and configure Apache Kafka effectively, demonstrating a deep understanding of its unique architecture, core concepts, and the differences between Kafka and other queue systems (JMS/MQ).
- Utilize Kafka APIs proficiently, including the Producer and Consumer APIs, and apply advanced techniques such as message compression, offset management, and Producer send modes.
- Design and develop streaming applications using the Kafka Streams API, performing complex operations like transformations, filters, joins, and aggregations, while working with KStream, KTable, and KStore concepts.
- Monitor and troubleshoot Kafka deployments, identifying performance bottlenecks, addressing common issues, and employing best practices for hardware selection, cluster sizing, partition sizing, and Zookeeper settings.
- Apply the skills and knowledge acquired throughout the course to real-world scenarios, showcasing the ability to develop, deploy, and optimize Kafka-based streaming applications for a variety of use cases.
This course is geared for experienced Java Developers and architects with
In order to be successful in this course, and to participate in the hands-on labs, you should possess:
- Basic Java programming skills; practical Java development background.
- Reasonable experience working with databases
- Basic Linux skills and the ability to work from the Linux command line
- Basic knowledge of Linux editors (such as VI / nano) for editing code.
