This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell scripts, Airflow and Kafka.
Well-designed and automated data pipelines and ETL processes are the foundation of a successful Business Intelligence platform. Defining your data workflows, pipelines and processes early in the platform design ensures the right raw data is collected, transformed and loaded into desired storage layers and available for processing and analysis as and when required.
This course is designed to provide you the critical knowledge and skills needed by Data Engineers and Data Warehousing specialists to create and manage ETL, ELT, and data pipeline processes.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Building ETL and Data Pipelines with Bash, Airflow and Kafka son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Ingeniero de datos.
Building ETL and Data Pipelines with Bash, Airflow and Kafka is a part of uno structured learning path.
17 Courses
Free Data Engineer
