- Shell Script
- Scalability
- Data Warehousing
- Web Scraping
- Data Integration
- Apache Kafka
- Extract, Transform, Load
- Data Pipelines
- Data Migration
- Performance Tuning
- Data Mart
- Apache Airflow
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Abdallah Helaoui
March 25, 2024
17 hours (approximately)
Abdallah Helaoui'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
