Apache Kafka Training
Master Apache Kafka 3.x with 8 hands-on projects at COSS Hyderabad. Build real-time data pipelines for high-demand jobs. Weekend batches available!
Course Overview
Alright, let's talk Kafka. You're here because you know real-time data is everywhere, right? This isn't your grandma's messaging queue; Apache Kafka is what powers big data pipelines at companies globally. Here at COSS, whether you join us in Dilsukhnagar or Ameerpet, you'll learn exactly how to build, manage, and scale those systems. We start from scratch, understanding distributed systems and Kafka's core architecture. By week three, you'll be writing producers and consumers, getting your hands dirty with Java or Python. You'll tackle 8 practical projects, learning everything from setting up Zookeeper and Kafka 3.x to working with Kafka Connect and the Streams API. We'll even dive into monitoring and security – because a data pipeline is only good if it's secure and stable, isn't it? Expect starting salaries for skilled Kafka developers in Hyderabad to be around 4-7 LPA, especially with companies like Infosys and TCS in Gachibowli actively hiring. [TRAINER_NAME] will guide you through every concept, making sure you're ready for the real world. Want to join our next weekend batch starting [BATCH_DATE]? We're focused on getting you job-ready for the data engineering roles waiting in Hyderabad.
What You Will Learn
- ✓ 8+ hands-on projects with Kafka 3.x
- ✓ Deep dive into Kafka Producers, Consumers, and Admin APIs
- ✓ Master Kafka Connect for data integration
- ✓ Build real-time streaming applications with Kafka Streams
- ✓ Learn Zookeeper, Schema Registry, and Confluent Platform basics
- ✓ Preparation for Confluent Certified Developer for Apache Kafka (CCDAK)
- ✓ Small batch sizes for personalized attention
- ✓ Flexible weekend batches available
Tools & Technologies
Syllabus
11. Kafka Fundamentals & Architecture+
- Introduction to Distributed Systems & Event Streaming
- Kafka Core Concepts: Topics, Partitions, Brokers, Replicas
- Understanding Zookeeper's Role in Kafka
- Setting up Kafka 3.x on Linux/Docker
- Kafka Command-Line Interface (CLI) Utilities
22. Kafka Producers: Sending Data+
- Producer API Overview and Configuration
- Asynchronous vs. Synchronous Message Sending
- Message Keys, Partitioning Strategies, Custom Partitioners
- Serialization and Deserialization with Avro and Schema Registry
- Idempotent Producers and Transactions
33. Kafka Consumers: Receiving Data+
- Consumer API Overview and Configuration
- Consumer Groups and Load Balancing
- Offset Management: Auto vs. Manual Commits
- Handling Failed Records and Consumer Retries
- Consumer Group Rebalancing and Strategies
44. Kafka Connect: Data Integration+
- Kafka Connect Architecture and Concepts
- Deploying and Managing Connectors (Standalone & Distributed)
- Source Connectors (e.g., JDBC Source, FileStream Source)
- Sink Connectors (e.g., JDBC Sink, Elasticsearch Sink)
- Single Message Transforms (SMTs) for data manipulation
55. Kafka Streams API: Stream Processing+
- Introduction to Kafka Streams Concepts (KStream, KTable)
- Stateful vs. Stateless Operations: Filtering, Mapping, Aggregations
- Windowing Strategies: Tumbling, Hopping, Session Windows
- Joins: Stream-Stream, Stream-Table, Table-Table Joins
- Building a Real-time Streaming Application
66. Advanced Kafka Topics & Operations+
- Kafka Security: SSL/TLS Encryption, SASL Authentication
- Monitoring Kafka Clusters with JMX and Prometheus
- Kafka Cluster Management and Best Practices
- MirrorMaker for Cross-Cluster Replication
- Kafka Admin Client API
77. Real-world Projects & Certification Prep+
- Project 1: Build an IoT Data Ingestion Pipeline
- Project 2: Real-time Log Aggregation with Kafka Streams
- Project 3: Database Change Data Capture (CDC) with Debezium
- Project 4: Real-time Fraud Detection System
- Confluent Certified Developer for Apache Kafka (CCDAK) Exam Objectives