ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Dong Han
January 27, 2024
17 hours (approximately)
Dong Han'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
- Category: Data Integration
- Category: Data Mart
- Category: Shell Script
- Category: Performance Tuning
- Category: Apache Airflow
- Category: Data Lakes
- Category: Extract, Transform, Load
- Category: Data Processing
- Category: Command-Line Interface
- Category: Bash (Scripting Language)
- Category: Data Warehousing
- Category: Data Cleansing

