Go through the different components of the Kafka tool involved in building data pipelines step by step.

Become a Big Data Professional

Apache Kafka is a mainstay platform for building highly scalable data pipelines. This module starts with a review of the fundamentals of Kafka. Moving ahead, we will cover the functioning of the major components of Kafka with practical examples. In the end, we will take a comprehensive look at the internal architecture of Kafka. By the end of this module, we will have the knowledge to create scalable data pipelines using Kafka.

Building Scalable Data Pipelines with Kafka

Congratulations! You have completed the “Building Scalable Data Pipelines with Kafka” module.

## Summary

In this module, we covered a popular tool used in big data, Apache Kafka. We comprehensively discussed the Kafka theory and reinforced it by looking at the execution of various Kafka commands. At the end of this module, we have the skills to build data pipelines on the Kafka platform.
  

## What’s next?

Now that we are familiar with the Apache Spark tool and big data, we will learn how to work efficiently with large volumes of data in the next module, “Mastering Big Data with Apache Spark and Java.”


Congratulations! You have completed the “Building Scalable Data Pipelines with Kafka” module.

# Summary

In this module, we covered a popular tool used in big data, Apache Kafka. We comprehensively discussed the Kafka theory and reinforced it by looking at the execution of various Kafka commands. At the end of this module, we have the skills to build data pipelines on the Kafka platform.
  

# What’s next?

Now that we are familiar with the Apache Spark tool and big data, we will learn how to work efficiently with large volumes of data in the next module, “Mastering Big Data with Apache Spark and Java.”


Here's a quick summary of the “Building Scalable Data Pipelines with Kafka” module.

Basics

Kafka Producer

Kafka Consumer

Kafka Internals

Appendix

Conclusion

Final Remarks

Summary