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This article serves as a guide to understanding the new features and improvements in Apache Airflow 2.9. With its enhanced dataset objects, improved UI, data-aware scheduling, and REST API endpoints, ...
As the driving force behind open-source workflow management platform Apache Airflow, Astronomer Inc. uses it to author, monitor and schedule data pipelines for optimal data orchestration ...
This repository contains a data processing pipeline that leverages Apache Spark for efficient data transformation and aggregation, managed through Apache Airflow for streamlined orchestration. Perform ...
Earth Observation (EO) data processing faces challenges due to large volumes, multiple sources, and diverse formats. To address this issue, this paper presents a scalable and parallelizable workflow ...
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