- Performance Tuning
- Shell Script
- Extract, Transform, Load
- Data Warehousing
- Unix Shell
- Apache Airflow
- Data Pipelines
- Web Scraping
- Data Migration
- Data Processing
- Data Integration
- Data Transformation
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Ebrahim Espootin
August 14, 2024
17 hours (approximately)
Ebrahim Espootin'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
