Edureka
Глобальный
Курс
Online
9 апреля 2022
5 недель
Стоимость курса
349 USD
Подробности и регистрация

Apache Kafka

Навыки, которые вы получите:
API Hadoop Spark BigData Apache Kafka

Edureka’s Apache Kafka Certification Training helps you in learning the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring. Apache Kafka Certification Training is designed to provide insights into Integration of Kafka with Hadoop, Storm and Spark, understand Kafka Stream APIs, implement Twitter Streaming with Kafka, Flume through real life cases studies.

Who is this course for

  • Developers, who want to gain acceleration in their career as a «Kafka Big Data Developer».
  • Testing Professionals, who are currently involved in Queuing and Messaging Systems.
  • Big Data Architects, who like to include Kafka in their ecosystem.
  • Project Managers, who are working on projects related to Messaging Systems.
  • Admins, who want to gain acceleration in their careers as a Apache Kafka Administrator.

Necessary preparation

Fundamental knowledge of Java concepts is mandatory.

The Program

  1. Introduction to Big Data and Apache Kafka.
  2. Kafka Producer.
  3. Kafka Consumer.
  4. Kafka Internals.
  5. Kafka Cluster Architectures & Administering Kafka.
  6. Kafka Monitoring and Kafka Connect.
  7. Kafka Stream Processing.
  8. Integration of Kafka With Hadoop, Storm and Spark.
  9. Integration of Kafka With Talend and Cassandra.
  10. Kafka In-Class Project.
  11. Certification Project.

What will you learn

  • Learn Kafka and its components.
  • Set up an end to end Kafka cluster along with Hadoop and YARN cluster.
  • Integrate Kafka with real time streaming systems like Spark & Storm.
  • Describe the basic and advanced features involved in designing and developing a high throughput messaging system.
  • Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter.
  • Get an insight of Kafka API.
  • Understand Kafka Stream APIs.
  • Work on a real-life project, ‘Implementing Twitter Streaming with Kafka, Flume, Hadoop & Storm.
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