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Introduction to Building Data Pipelines Using Kafka, Hadoop/Spark, and Airflow

From the core concepts and infrastructure setup of Kafka, Hadoop, Spark, and Airflow to hands-on practice with Java and Python, as well as building production-level pipelines in an AWS environment.

4 learners are taking this course

Level Beginner

Course period Unlimited

Kafka
Kafka
Hadoop
Hadoop
Apache Spark
Apache Spark
airflow
airflow
amazon-msk
amazon-msk
Kafka
Kafka
Hadoop
Hadoop
Apache Spark
Apache Spark
airflow
airflow
amazon-msk
amazon-msk

What you will gain after the course

  • Core concepts of Kafka, Hadoop, Spark, and Airflow

  • Data Pipeline Infrastructure Setup Practice

  • Building an operational data pipeline using AWS’s MSK, EMR, MWAA, and S3 services

Recommended for
these people

Who is this course right for?

  • A data engineer who needs to build a data pipeline

  • Backend developer who needs to use Kafka, Spark, and other tools

  • An AI engineer who needs to build a data lake for AI training

Hello
This is bradkim

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💪💪💪An expert with both practical and teaching experience 💪💪💪

Hello, I'm Seonguk Kim. I graduated from Yonsei University and have worked as a software engineer at major corporations and startups. Currently, I am working as a full-time instructor for corporate training and bootcamps. As an instructor with both practical and teaching experience, I will deliver essential knowledge in an easy-to-understand manner.

Profile : https://www.linkedin.com/in/seongukkim

Corporate training inquiries: ksg39412@naver.com

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