- Data Transformation
- Data Warehousing
- Extract, Transform, Load
- Data Mart
- Apache Airflow
- Data Integration
- Data Pipelines
- Unix Shell
- Apache Kafka
- Data Migration
- Web Scraping
- Data Processing
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Jiaqi Jia
September 18, 2024
17 hours (approximately)
Jiaqi Jia'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
