- Data Processing
- Big Data
- Apache Kafka
- Data Warehousing
- Performance Tuning
- Apache Airflow
- Data Transformation
- Extract, Transform, Load
- Unix Shell
- Data Mart
- Command-Line Interface
- Data Migration
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Varunkumar Madhavan
April 27, 2024
17 hours (approximately)
Varunkumar Madhavan'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
