Free Apache Kafka Certification Course

Free Apache Kafka Certification Course

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DataFlair’s Free Kafka Training will give you a perfect blend of in-depth Kafka theoretical knowledge and strong practical skills. This online Kafka certification course introduces real-time Kafka projects to give you a headstart in learning Kafka and enables you to bag top Kafka jobs in the industry.

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What will you take home from this Free Apache Kafka Course?

  • 24 hrs of self-paced course
  • 170+ hrs of study material, practicals, quizzes
  • Acquire practical knowledge which industry needs
  • Practical course with real-time case-studies
  • Lifetime access with industry renowned certification
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Why should you enroll in this Free Apache Kafka Course?

  • Understand Kafka architecture and Kafka configuration on cluster
  • Master various Kafka components- consumer, producer, and brokers
  • Perform different operations on topics
  • Integrate Kafka with various consumers
  • Play with Kafka partitions and distribute data between them
  • Understand insights of high & low level Kafka APIs
  • Learn concepts of the latest version of Kafka
  • Develop real-time Kafka applications
  • Learn Zookeeper and its installation
  • Master balancing of Kafka clusters
  • Understand replication and its importance in Kafka
  • Learn Kafka best practices and develop live Kafka project

Why Should You Learn Apache Kafka?

Next-gen messaging queue, mandatory component for all real-time Big Data Project
Linkedin, Uber, Airbnb, and other 1000s of companies are using Kafka.
Kafka revolutionizes Big Data, whose market will reach $99B in next 2 yrs.
Average Salary of Kafka Professional is 122,000 USD per annum.

What to do before you begin your Kafka online training course?

Knowledge of core Java will be helpful. You can revise it with free Java course from the DataFlair.

Kafka Course Prerequisites - DataFlair

Apache Kafka Online Training Course Curriculum

You will learn:   Tools to learn in Big Data Hadoop Course

Features of Kafka Training Course

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