- Shell Script
- Data Transformation
- Big Data
- Performance Tuning
- Apache Kafka
- Apache Airflow
- Data Mart
- Scalability
- Extract, Transform, Load
- Data Processing
- Data Warehousing
- Web Scraping
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Philimon Elkess Dawoud
May 20, 2024
17 hours (approximately)
Philimon Elkess Dawoud'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
