Udemy

Apache Kafka A-Z with Hands on Learning

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  • 435 Students
  • Updated 9/2021
4.2
(49 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 24 Minute(s)
Language
English
Taught by
Learnkart Technology Pvt Ltd
Rating
4.2
(49 Ratings)

Course Overview

Apache Kafka A-Z with Hands on Learning

Learn Kafka from scratch to advanced through hands on learning

[4-Sep-21 Update] Added code of demos as downloaded resource

Apache Kafka is an open-source distributed stream processing platform that provides high-throughput and low latency real-time messaging. More than 80% of all Fortune 100 companies trust, and use Kafka. Companies like Airbnb, Netflix, Microsoft, Intuit, Target, etc use Kafka extensively.

This course has been aligned with industry best practices and has been created by industry leaders.

This is the an exhaustive course covering A-Z of Kafka:

-Basic concepts and architecture of Kafka

-Kafka Producer and consumer

- Serializer/De-serializer

-Kafka Streams

-Kafka Connect

-Cluster setup and Administrating Kafka

-Kafka Monitoring and Schema registry

-Integration of Kafka with Storm

- Integration of Kafka with Spark and Flume

- Kafka Security

-and Many more concepts in detail


The course contains :

-High quality engaging videos of 9.5 Hrs

-18 Demos

-Quizzes for each lesson

-1 Project


The course will help you design Apache Kafka and learn how Apache Kafka is used to storing and processing multiple nonstop streams of information faster and all the more efficiently.


Learn how to design and introduce Kafka groups, With simple to follow and step by step guidelines.


This Apache Kafka course will help students:

- To learn the all the required knowledge to undertake responsibility for their organization's Kafka group by arranging Kafka producer, consumer, streams, and connectors

- Depicting the design of Kafka & clarify use cases in business

- Start journey in Kafka

Course Content

  • 10 section(s)
  • 156 lecture(s)
  • Section 1 Course Introduction
  • Section 2 Lesson 1: Getting Started with Big Data and Apache Kafka
  • Section 3 Lesson 2: Kafka Producer
  • Section 4 Lesson 3: Kafka Consumer
  • Section 5 Lesson 4: Kafka Operations and Performance Tuning
  • Section 6 Lesson 5: Kafka Cluster Architectures and Administering Kafka
  • Section 7 Lesson 6: Kafka Monitoring and Schema Registry
  • Section 8 Lesson 7: Kafka Streams and Kafka Connectors
  • Section 9 Lesson 8: Integration of Kafka with Storm
  • Section 10 Lesson 9: Kafka Integration with Spark and Flume

What You’ll Learn

  • Learn to handle real-time data feeds using Kafka open-source messaging
  • Master important points - Topics, Partitions, Brokers, Producers, Consumers
  • Learn how to build robust streaming applications using Kafka for real-time messaging
  • Create Producers and Consumers
  • Write Kafka Streams application
  • Configure/run Kafka Source and Sink Connectors
  • Write your own customized Kafka Connector
  • Configure Standalone and Sink Connector
  • Build Standalone Application using Kafka and Storm
  • Create Flume agent for Sending data from Kafka to HDFS


Reviews

  • G
    Genadi Mumladze
    1.0

    Awful voice :|

  • S
    Sergio Antonio Martinez Valencia
    3.5

    I liked this course, would prefer a real voice instead of robotic and have some more complex examples though

  • L
    Lesya Stienen
    5.0

    very good! Thanks!

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