- Shell Script
- Performance Tuning
- Data Transformation
- Big Data
- Data Mart
- Data Pipelines
- Apache Airflow
- Data Warehousing
- Extract, Transform, Load
- Scalability
- Data Processing
- Data Integration
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Sowmya Danturi
March 10, 2024
17 hours (approximately)
Sowmya Danturi'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
