- Apache Airflow
- Data Warehousing
- Data Transformation
- Apache Kafka
- Extract, Transform, Load
- Scalability
- Data Integration
- Data Migration
- Unix Shell
- Shell Script
- Performance Tuning
- Data Processing
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Abdelmounaim Bounab
December 15, 2024
17 hours (approximately)
Abdelmounaim Bounab'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
