ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Diwas Adhikari
January 25, 2024
17 hours (approximately)
Diwas Adhikari'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
- Category: Bash (Scripting Language)
- Category: Data Warehousing
- Category: Data Cleansing
- Category: Data Pipelines
- Category: Data Integration
- Category: Extract, Transform, Load
- Category: Apache Airflow
- Category: Data Transformation
- Category: Data Mart
- Category: Performance Tuning
- Category: Shell Script
- Category: Data Lakes
