Apache Kafka Essential Training: Building Scalable Applications

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Kumaran Ponnambalam

1:18:00

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01 - Introduction

01 - Building robust Kafka applications.mp4

00:45

02 - 1. Introduction to Kafka

01 - What is Kafka.mp4

01:54

02 - Prerequisites for the course.mp4

01:21

03 - Kafka scaling and resiliency.mp4

01:59

04 - Setting up the exercise files.mp4

01:42

03 - 2. Kafka Scaling Concepts

01 - A Kafka cluster.mp4

02:17

02 - Kafka controllers.mp4

01:42

03 - Replication.mp4

02:58

04 - Partition leaders.mp4

03:35

05 - Security.mp4

01:33

04 - 3. Building a Kafka Cluster

01 - Kafka cluster setup.mp4

04:48

02 - Running the cluster.mp4

02:19

03 - Creating topics with replication.mp4

02:34

04 - Kafka clusters in action.mp4

03:52

05 - Kafka resiliency in action.mp4

04:58

05 - 4. Building Scalable Producers

01 - Producer internals.mp4

02:28

02 - Producer publishing options.mp4

03:03

03 - Acknowledgments in Kafka.mp4

02:16

04 - Additional producer parameters.mp4

01:49

05 - Java producer options example.mp4

03:31

06 - 5. Building Scalable Consumers

01 - How consumer works.mp4

02:16

02 - Batching message consumption.mp4

02:28

03 - Committing messages.mp4

02:41

04 - Java consumer example.mp4

03:04

05 - Multi-threaded consumers.mp4

03:49

07 - 6. Kafka Best Practices

01 - Managing partition counts.mp4

02:40

02 - Managing messages.mp4

01:24

03 - Managing consumer settings.mp4

01:20

04 - Managing resiliency.mp4

01:28

08 - 7. Use Case Project

01 - Kafka applications use case Problem definition.mp4

01:34

02 - Setting up topics.mp4

00:33

03 - Producing data in Java.mp4

01:17

04 - Consuming data in Java.mp4

01:16

09 - Conclusion

01 - How do you extend your Kafka learning journey.mp4

00:46

Description

Scalable and distributed message queuing plays an important role in building real time big data pipelines. Asynchronous publisher/subscriber models are required to handle unpredictable loads in these pipelines. Apache Kafka is the leading technology today that provides these capabilities and is an essential skill for a big data professional. In this course, Kumaran Ponnambalam provides insights into the scalability and manageability aspects of Kafka and demonstrates how to build asynchronous applications with Kafka and Java. Kumaran starts by demonstrating how to set up a Kafka cluster and explores the basics of Java programming in Kafka. He then takes a deep dive into the various messaging and schema options available. Kumaran also goes over some best practices for designing Kafka applications before finishing with a use case project that applies the lessons covered in the course.

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Data Science

Apache Kafka

Kumaran Ponnambalam

Instructor's Courses

A seasoned veteran in everything data, with a reputation for delivering high performance database and SaaS applications and currently specializing in leading Big Data Science and Engineering efforts

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