ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Paulo Conde
May 16, 2026
17 hours (approximately)
Paulo Conde'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 Mart
- Category: Data Processing
- Category: Data Integration
- Category: Performance Tuning
- Category: Extract, Transform, Load
- Category: Apache Airflow
- Category: Shell Script
- Category: Bash (Scripting Language)
- Category: Data Warehousing
- Category: Data Cleansing
- Category: Data Pipelines
- Category: Data Lakes
