Apache Kafka Essential Training: Building Scalable Applications

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Kumaran Ponnambalam

1:17:34

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01 Introduction

001 Why are Kafka skills so high in demand .mp4

00:54

02 Introduction to Kafka

001 What is Kafka .mp4

01:50

002 Prerequisites for the course.mp4

01:21

003 Kafka scaling and resiliency.mp4

02:02

004 Setting up the exercise files.mp4

01:51

03 Kafka Scaling Concepts

001 Clusters and controllers.mp4

04:08

002 Replication.mp4

02:58

003 Partition leaders.mp4

03:29

004 Mirroring.mp4

02:38

005 Security.mp4

01:32

04 Building a Kafka Cluster

001 Kafka cluster setup.mp4

02:54

002 Running the cluster.mp4

02:08

003 Creating topics with replication.mp4

02:39

004 Kafka cluster in action.mp4

03:52

005 Kafka resiliency in action.mp4

03:27

05 Building Scalable Producers

001 Producer internals.mp4

02:31

002 Producer publishing options.mp4

03:02

003 Acknowledgments in Kafka.mp4

02:12

004 Additional producer parameters.mp4

01:55

005 Java producer options example.mp4

03:14

06 Building Scalable Consumers

001 Consumer How it works.mp4

02:17

002 Batching message consumption.mp4

02:34

003 Committing messages.mp4

02:41

004 Java consumer example.mp4

03:07

005 Multi-threaded consumers.mp4

03:42

07 Kafka Best Practices

001 Managing partition counts.mp4

02:46

002 Managing messages.mp4

01:23

003 Managing consumer settings.mp4

01:20

004 Managing resiliency.mp4

01:23

08 Use Case Project

001 Kafka applications use case Problem definition.mp4

01:42

002 Setting up topics.mp4

00:42

003 Producing data in Java.mp4

01:16

004 Consuming data in Java.mp4

01:20

09 Conclusion

001 How can you extend your Kafka learning journey .mp4

00:44

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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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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