Training Options

Classroom Training

$ $

  • Immersive hands-on learning on Apache Kafka.
  • 24 hours of Instructor-led training classes.
  • Use cases on Content messaging queue, Kafka Stream API, Analytical pipeline.
  • Acquire knowledge of Kafka Ecosystem and its components.
  • Master Kafka cluster and its integration with Big Data Frameworks like Hadoop
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Live Instructor-Led Training

$ $

  • Master Kafka cluster and its integration with Big Data Frameworks like Hadoop
  • Acquire knowledge of Kafka Ecosystem and its components
  • Use cases on Content messaging queue, Kafka Stream API, Analytical pipeline
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Corporate Training

Customized to your team's needs

  • Get access to the latest updates, practice case studies & quizzes to advance your skills.
  • anytime. One-User at a time gets access to the courseware based on new exam pattern.
  • 24 hours of Instructor-led training classes.
  • Immersive hands-on learning on Apache Kafka.
  • Use cases on Content messaging queue, Kafka Stream API, Analytical pipeline.

Course Curriculum

Course Content

  • Overview of event streaming and its importance.
  • Introduction to Apache Kafka and its key features.
  • Understanding Kafka architecture: topics, partitions, brokers, producers, and consumers.

  • Installing and setting up Apache Kafka on different platforms.
  • Configuration of Kafka brokers, topics, and partitions.
  • Understanding Kafkas storage and retention policies.

  • Writing Kafka producers to publish data to topics.
  • Developing Kafka consumers to subscribe to topics and process data.
  • Managing offsets and ensuring data consistency.

  • Understanding different messaging patterns: publish-subscribe and point-to-point.
  • Implementing message ordering, data replay, and idempotence.

  • Introduction to Kafka Connect for integrating Kafka with external data sources and sinks.
  • Configuring and using connectors for various use cases.

  • Overview of Kafka Streams for building real-time applications and stream processing.
  • Developing stream processing applications using the Kafka Streams API.
  • Scaling Kafka clusters to handle increased load.
  • Replication, failover, and fault tolerance strategies.

  • Introduction to Kafka ecosystem components like Kafka MirrorMaker and Kafka Connectors.
  • Integrating Kafka with other tools like Apache Spark and Elasticsearch.

  • Common issues and challenges in Kafka environments.
  • Strategies for diagnosing and resolving problems.

Exam & Certification

No, there is no standardized or official certification exam specifically for Apache Kafka training.

Testimonials

Apache Kafka Training FAQ's

Apache Kafka training is a structured learning program designed to teach individuals about Apache Kafka, a popular open-source stream processing platform. The training covers topics such as Kafkas architecture, components, usage scenarios, and practical hands-on exercises.

Taking Apache Kafka training offers several benefits, including gaining a deep understanding of Kafkas architecture, learning how to set up and manage Kafka clusters, acquiring skills to design scalable data streaming solutions, and being better prepared to handle real-time data processing challenges.

Prerequisites can vary based on the training program. However, having a basic understanding of concepts like data streaming, databases, and programming can be beneficial. Familiarity with programming languages like Java or Scala might also be useful for hands-on exercises.

The duration of Apache Kafka training can vary. It could be a one-day workshop, a multi-day bootcamp, or even an online self-paced course. The length depends on the depth of the material covered and the training provider.