- Apache Airflow
- Data Processing
- Web Scraping
- Extract, Transform, Load
- Performance Tuning
- Data Mart
- Scalability
- Data Pipelines
- Data Warehousing
- Data Integration
- Data Transformation
- Apache Kafka
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by yassir moujahid
June 24, 2024
17 hours (approximately)
yassir moujahid'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

