KAFKA - Kafka Training Course


Duration: 3 days
To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required.


  • Understand Apache Kafka Ecosystem, Architecture, Core Concepts and Operations 
  • Master Concepts such as Topics, Partitions, Brokers, Producers, Consumers 
  • Start a personal Kafka development environment 
  • Learn major CLIs: kafka-topics, kafka-console-producer, kafka-console-consumer, kafka-consumer-groups, kafka-configs 
  • Create your Producers and Consumers in Java to interact with Kafka 
  • Program a Real World Twitter Producer & ElasticSearch Consumer 
  • Extended APIs Overview (Kafka Connect, Kafka Streams), Case Studies and Big Data Architecture 
  • Practice and Understand Log Compaction


  • Introducing to Messaging Systems and their use cases, Problems and limitations (P2P, PubSub) 
  • Understand publish-subscribe messaging and how it fits in the big data ecosystem.
  • JMS,RabbitMQ,ActiveMQ 
  • Kafka for Big Data & Data Ingestion, Role in ETL 
  • Why do we need Kafka? Components of Kafka 
  • Kafka use cases 
  • Setting Up a Kafka Cluster 
  • Setting Up Zookeeper 
  • A single node – a single broker cluster, Windows or Linux(Single VM) 
  • A single node – multiple broker cluters, Windows or Linus (Single VM) 
  • Multiples nodes - multiple broker clusters, EC2 Instances 
  • The Kafka broker property list 
  • Kafka Design, Leader, Follower, ISR, Offsets 
  • Kafka design fundamentals - Broker, Producer, Consumer, Topic, Partition 
  • Replication in Kafka 
  • Writing Producers, The c#/java producer/consumer API 
  • Avro Producer / Consumer c#/java
  • Creating a Java producer with custom partitioning
  • The Kafka producer property list acks, buffer.memory, compression.type, retries, batch.size,,, and 
  • Kafka Streams (Java/Scala) 
  • Kafka integration with Spark Java Streaming (Standalone VM) 
  • Kafka administration tools 
  • Kafka cluster mirroring and Monitoring using open source tools 
  • Frequent Problems and Solutions 
  • Kafka Manager Usage 
  • Kafka configuration files details and troubleshooting 
  • Partition management & config num. partitions, log., log.retention.bytes, log.segment.bytes, message.max.bytes 
  • Disaster Recovery 
  • Low level clients 
  • Lost Message detection and recovery 
  • Use Kafka Connect to import/export data and Role of KSQL


  • Some understanding of Java Programming 
  • Good to have knowledge about Linux command line


  • A recent Windows / Mac / Linux machine with minimum 16GB of RAM, 100 GB of disk space 
  • Some understanding of Java Programming 
  • Good to have knowledge about Linux command line 
  • Desire to learn something awesome and new!


Trainocate Certificate of Attendance


Show Schedule for: