Airflow
This training delves into Amazon-managed workflows for Apache Airflow (MWAA). This is a great service for anyone already using Apache Airflow, and wanting to find a better way to deal with setting up the service, scheduling, and managing their workflow. The objective is to learn how Amazon managed workflows is implemented within AWS, how DAGs are used to run workflows and understand key components to set up Managed Airflow environment.
To get the most out of this training, trainees should have a decent understanding of cloud computing and cloud architectures, specifically with Amazon Web Services. Trainees should also have some background knowledge about Apache Airflow, however, that is not a hard requirement. Basic knowledge of ELT pipelines and state machines would also be beneficial.
StreamSets
Our Streamsets Training is an open source, enterprise-grade, continuous big data ingest infrastructure that accelerates time to analysis by bringing unprecedented transparency and processing to data in motion.
Trainees preferably should have a general knowledge of operating systems, networking, programming concepts, and databases.
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