ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Naomi Ndungu
January 16, 2026
17 hours (approximately)
Naomi Ndungu's account is verified. Coursera certifies their successful completion of ETL and Data Pipelines with Shell, Airflow and Kafka
What you will learn
Describe and contrast Extract, Transform, Load (ETL) processes and Extract, Load, Transform (ELT) processes.
Explain batch vs concurrent modes of execution.
Implement ETL workflow through bash and Python functions.
Describe data pipeline components, processes, tools, and technologies.
Skills you will gain
- Category: Data Integration
- Category: Bash (Scripting Language)
- Category: Shell Script
- Category: Data Mart
- Category: Data Warehousing
- Category: Data Cleansing
- Category: Data Pipelines
- Category: Data Processing
- Category: Apache Kafka
- Category: Performance Tuning
- Category: Extract, Transform, Load
- Category: Apache Airflow
