- Data Warehousing
- Data Migration
- Scalability
- Web Scraping
- Data Pipelines
- Data Mart
- Apache Kafka
- Data Transformation
- Data Integration
- Shell Script
- Big Data
- Data Processing
ETL and Data Pipelines with Shell, Airflow and Kafka
Completed by Azeddin sahir
November 16, 2024
17 hours (approximately)
Azeddin sahir'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
