- Data Integration
- Data Mart
- Shell Script
- Data Warehousing
- Performance Tuning
- Extract, Transform, Load
- Data Migration
- Scalability
- Data Transformation
- Data Pipelines
- Unix Shell
- Big Data
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Kunjal Mahant
May 4, 2024
17 hours (approximately)
Kunjal Mahant'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
