- Data Migration
- Extract, Transform, Load
- Data Integration
- Big Data
- Data Warehousing
- Data Processing
- Data Transformation
- Scalability
- Web Scraping
- Data Pipelines
- Data Mart
- Unix Shell
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Hassan Tavakoli
February 6, 2022
17 hours (approximately)
Hassan Tavakoli'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
