Apache Kafka for developers

Apache Kafka for developers, available at $39.99, has an average rating of 3.85, with 84 lectures, based on 29 reviews, and has 344 subscribers.

You will learn about Apache Kafka is a popular tool used in many big data analytics projects to get data from other systems into big data system. Through this course students can develop Apache Kafka applications that send and receive data from Kafka clusters. By the end of this course, students will be able to , set up a personal Kafka development environment, develop a Kafka producer to send messages, develop a Kafka consumer to receive messages. You will also practice the Kafka command line interfaces for producing and consuming messages. This course is ideal for individuals who are Java developers who want to get into big data development using Apache Kafka It is particularly useful for Java developers who want to get into big data development using Apache Kafka.

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Summary

Title: Apache Kafka for developers

Price: $39.99

Average Rating: 3.85

Number of Lectures: 84

Number of Published Lectures: 84

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 84

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Apache Kafka is a popular tool used in many big data analytics projects to get data from other systems into big data system. Through this course students can develop Apache Kafka applications that send and receive data from Kafka clusters.

By the end of this course, students will be able to , set up a personal Kafka development environment, develop a Kafka producer to send messages, develop a Kafka consumer to receive messages.

You will also practice the Kafka command line interfaces for producing and consuming messages.

Who Should Attend

Java developers who want to get into big data development using Apache Kafka

Target Audiences

Java developers who want to get into big data development using Apache Kafka

Apache Kafka is a popular tool used? in many big data analytics projects to get data from other systems into big data system. Through this course students can develop Apache Kafka applications that send and receive data from Kafka clusters. By the end of this course, students will be able to , set up a personal Kafka development environment, master the concepts of topics, partitions and consumer groups, develop a Kafka producer to send messages and develop a Kafka consumer to receive messages. You will also practice the Kafka command line interfaces for producing and consuming messages.

This is a hands on development course and you will practice more than 20 programs during this course. All programs can be executed in Eclipse and can connect to a Kafka cluster to send or receive messages.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Structure

Lecture 3: Big data sizes

Lecture 4: Big data solution stages

Lecture 5: Big data sample case study

Lecture 6: Things to remember

Lecture 7: Quick Installation

Chapter 2: Kafka Concepts

Lecture 1: Introduction

Lecture 2: Kafka use cases

Lecture 3: Topics and Messages

Lecture 4: Producers and Consumers

Lecture 5: Kafka Brokers

Lecture 6: Serialization & Deserialization

Lecture 7: Distributed Processing

Lecture 8: Zookeeper

Lecture 9: Fault Tolerance in Kafka

Lecture 10: Kafka Architecture

Lecture 11: Creating a Topic

Lecture 12: Demo and Practice Activity: Creating a Topic

Lecture 13: Practice Activity: Create a topic

Lecture 14: Demo and Practice Activity: Creating and Reading messages

Lecture 15: Demo and Practice Activity: Creating and reading messages with keys

Lecture 16: Things to remember

Lecture 17: Download the sample data

Lecture 18: Practice Activities

Chapter 3: Kafka Installation and Configuration

Lecture 1: Introduction

Lecture 2: Machines and OS selection

Lecture 3: Kafka Version selection

Lecture 4: Prerequisite Software

Lecture 5: Demo and Practice Activity: Installation on Windows

Lecture 6: Installation on Linux

Lecture 7: Demo : Installation on Linux

Lecture 8: Configuration Options

Lecture 9: Fixing problem on windows

Lecture 10: Things to remember

Lecture 11: Download Practice and Activity programs

Lecture 12: Install Eclipse

Lecture 13: Setup Eclipse

Lecture 14: Check POM file

Lecture 15: Import projects into Eclipse

Lecture 16: Setup run configuration in Eclipse

Chapter 4: Kafka Producers

Lecture 1: Introduction

Lecture 2: Kafka Producer

Lecture 3: Producer API

Lecture 4: Demo and Practice Activity: A Simple Producer

Lecture 5: Demo and Practice Activity: Running a Simple Producer

Lecture 6: Demo and Practice Activity: Bisecting the producer program

Lecture 7: Producer Configuration Properties

Lecture 8: Demo and Practice Activity: Bisecting the producer continued.

Lecture 9: Producer Callback

Lecture 10: Demo and Practice Activity: Producer Callback Program

Lecture 11: Demo and Practice Activity: Producer Callback program continued

Lecture 12: Synchronous Producer

Lecture 13: Demo and Practice Activity: Near Synchronous producer program

Lecture 14: Keys and Value Types

Lecture 15: Demo and Practice Activity: Program handling keys and value types

Lecture 16: Demo and Practice Activity: Program handling keys and value types continued

Lecture 17: Default and Custom Partitioners

Lecture 18: Demo and Practice Activity: Creating a Custom Partitioner

Lecture 19: Things to remember

Lecture 20: Practice Activities

Chapter 5: Kafka Consumers

Lecture 1: Introduction

Lecture 2: Kafka Consumer

Lecture 3: Consumer Offsets

Lecture 4: Using Consumer API

Lecture 5: Demo and Practice Activity: A simple consumer program

Lecture 6: Demo and Practice Activity: Running a simple consumer program

Lecture 7: Demo and Practice Activity: Bisecting the consumer program

Lecture 8: Consumer Configuration Properties

Lecture 9: Consumer properties and topic partition class

Lecture 10: Demo and Practice Activity: Bisecting the consumer program continued

Lecture 11: Key and Value types in Consumer

Lecture 12: Demo and Practice Activity: Handling key and value types in Consumer

Lecture 13: Demo and Practice Activity: Handling key and value types in Consumer continued

Lecture 14: Partition Assignment

Lecture 15: Demo and Practice Activity: Illustrating consumer groups and partitions part1

Lecture 16: Demo and Practice Activity: Illustrating consumer groups and partitions part 2

Lecture 17: Demo and Practice Activity: Illustrating consumer groups and partitions part 3

Lecture 18: Changing Offset position

Lecture 19: Demo and Practice Activity: Changing offset position

Lecture 20: Demo and Practice Activity: Changing offset position continued

Lecture 21: Things to remember

Lecture 22: Practice Activities

Chapter 6: Conclusion

Lecture 1: Conclusion and next steps

Instructors

Ganapathi Devappa
Cloud and Big Data Specialist

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2 stars: 3 votes

3 stars: 2 votes

4 stars: 11 votes

5 stars: 13 votes

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