Register for Kafka Real-Time Data Processing Course
Master real-time data streaming with our 30-hour expert-led course. Limited spots available!
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Complete the form below to reserve your place. An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment details.
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Why Join the Kafka Course?
This 30-hour training program is designed for developers and data engineers aiming to master real-time data streaming with Apache Kafka. With hands-on labs and real-world projects, you’ll gain practical skills to build scalable data pipelines.
- Duration: 30 hours of expert-led training
- Level: Intermediate to Advanced
- Format: Online, self-paced with live Q&A sessions and instructor support
- Tools: Kafka, Zookeeper, Kafka Streams, KSQL, Java, Python
- Certification: Earn a Certificate of Completion recognized by top employers
- Support: Access to a private community and 1:1 mentorship options
Investment: £750
An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment instructions.
What You’ll Master
Introduction to Apache Kafka
- Overview of Kafka and its role in real-time data processing
- Key concepts: Topics, Partitions, Brokers, and Replication
- Understanding Kafka’s architecture and components
- Hands-on exercise: Setting up a Kafka environment with Docker
- Comparing Kafka with traditional messaging systems
- Real-world use cases: IoT, log aggregation, and event sourcing
- Introduction to Zookeeper and its role in Kafka
- Basic Kafka commands and configurations
Kafka Producers and Consumers
- Building Kafka producers to publish data streams
- Configuring producer properties: acks, retries, and batching
- Hands-on lab: Creating a producer with Java/Python
- Understanding consumers and consumer groups
- Hands-on exercise: Subscribing to topics and consuming messages
- Managing offsets and ensuring data reliability
- Real-world scenario: Streaming live sensor data
- Error handling and retries in producers/consumers
Kafka Streams and KSQL
- Introduction to Kafka Streams for real-time processing
- Building stream processing applications with Kafka Streams
- Hands-on lab: Filtering and aggregating data streams
- Using KSQL for querying Kafka topics
- Hands-on exercise: Writing KSQL queries for real-time analytics
- Stateful processing: Joins, windows, and aggregations
- Real-world case study: Processing e-commerce transaction data
- Best practices for stream processing design
Scaling and Optimizing Kafka
- Configuring Kafka for high throughput and low latency
- Managing partitions and replication for scalability
- Hands-on lab: Scaling a Kafka cluster with additional brokers
- Monitoring Kafka with tools like Kafka Manager and Prometheus
- Optimizing performance: Compression, batching, and tuning
- Hands-on exercise: Load testing a Kafka cluster
- Handling failures: Broker recovery and rebalancing
- Real-world example: Scaling for a global messaging platform
Advanced Kafka Integrations
- Integrating Kafka with databases (e.g., Kafka Connect)
- Hands-on lab: Streaming data from MySQL to Kafka
- Using Kafka with big data tools: Spark, Flink, and Hadoop
- Hands-on exercise: Processing Kafka streams with Spark
- Securing Kafka: SSL, SASL, and ACLs
- Real-world scenario: Building a data pipeline for analytics
- Deploying Kafka in the cloud (AWS, GCP, Azure)
- Best practices for production-ready Kafka systems
Why Choose This Course?
- Led by Kafka experts with industry experience
- Hands-on labs with real-time data scenarios
- Flexible online format tailored to your schedule
- Build a portfolio with 3+ practical projects
- Prepares you for Kafka certifications and career advancement
- Lifetime access to course updates
Ready to Master Kafka?
Spots are limited due to our personalized support model. Register now to receive your invoice!
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