- Shell Script
- Data Mart
- Data Integration
- Extract, Transform, Load
- Performance Tuning
- Apache Airflow
- Data Warehousing
- Data Processing
- Web Scraping
- Data Pipelines
- Data Migration
- Data Transformation
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Jarrett Shan Wei Yeo
December 17, 2021
17 hours (approximately)
Jarrett Shan Wei Yeo'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
